Multiple post-doc positions
Multiple post-doctoral research positions are available on a collaborative research project involving New York University, University of Illinois at Urbana-Champaign, University of Minnesota, SUNY Binghampton and the US Naval Academy. For the post-doc position at the University of Minnesota, please apply here: https://hr.myu.umn.edu/jobs/ext/334135. Feel free to send me your questions about these positions.
At the University of Minnesota, the position is to begin at the start of the spring semester 2020 (January 9, 2020) or soon thereafter. We are committed to attracting candidates from historically under-represented groups knowing that diversity enriches the academic experience and provides a base for innovation and progress. Appointment will be 100% time.
REQUIRED QUALIFICATIONS:
The position requires a PhD in Statistics, Computer Science or a related discipline. The candidate must have a strong background in algorithmic development and theoretical aspects of machine learning, apart from strong coding skills.
About the Job
This postdoctoral position is primarily for a research project on the applications of data-driven methods to solve multi-scale problems in physical sciences. We seek outstanding data scientists and physical scientists who are interested in investigating novel approaches to the scientific modeling of natural phenomena across different disciplines including climate science, solid state physics, material science and urban engineering. Successful candidates will work with a team of collaborators from New York University, University of Illinois at Urbana-Champaign, University of Minnesota, SUNY Binghampton and the US Naval Academy, and will participate in conceptualization and development of machine learning approaches relevant to the study problems, their design and implementation; and in writing research reports and findings and disseminating results.
Job duties include:
Developing algorithms and prove theoretical results on the machine learning and statistical components on several multi-scale problems in physical sciences. Monitoring implementation, management, coordination, and documentation of all study activities. Ensuring that components of the project are completed in an ethically, scientifically, and rigorous and timely manner. Prepare manunoscripts and reproducible numeric results for dissemination of findings of the research and preparing related computer programs and software for public use.
The initial term of the appointments will be one year, renewable for a second year, conditional on satisfactory performance and funding availability.
✔️ @ApplyTime
Multiple post-doctoral research positions are available on a collaborative research project involving New York University, University of Illinois at Urbana-Champaign, University of Minnesota, SUNY Binghampton and the US Naval Academy. For the post-doc position at the University of Minnesota, please apply here: https://hr.myu.umn.edu/jobs/ext/334135. Feel free to send me your questions about these positions.
At the University of Minnesota, the position is to begin at the start of the spring semester 2020 (January 9, 2020) or soon thereafter. We are committed to attracting candidates from historically under-represented groups knowing that diversity enriches the academic experience and provides a base for innovation and progress. Appointment will be 100% time.
REQUIRED QUALIFICATIONS:
The position requires a PhD in Statistics, Computer Science or a related discipline. The candidate must have a strong background in algorithmic development and theoretical aspects of machine learning, apart from strong coding skills.
About the Job
This postdoctoral position is primarily for a research project on the applications of data-driven methods to solve multi-scale problems in physical sciences. We seek outstanding data scientists and physical scientists who are interested in investigating novel approaches to the scientific modeling of natural phenomena across different disciplines including climate science, solid state physics, material science and urban engineering. Successful candidates will work with a team of collaborators from New York University, University of Illinois at Urbana-Champaign, University of Minnesota, SUNY Binghampton and the US Naval Academy, and will participate in conceptualization and development of machine learning approaches relevant to the study problems, their design and implementation; and in writing research reports and findings and disseminating results.
Job duties include:
Developing algorithms and prove theoretical results on the machine learning and statistical components on several multi-scale problems in physical sciences. Monitoring implementation, management, coordination, and documentation of all study activities. Ensuring that components of the project are completed in an ethically, scientifically, and rigorous and timely manner. Prepare manunoscripts and reproducible numeric results for dissemination of findings of the research and preparing related computer programs and software for public use.
The initial term of the appointments will be one year, renewable for a second year, conditional on satisfactory performance and funding availability.
✔️ @ApplyTime
PhD and postdoc positions in deep learning and graphical models in Bonn, Germany
We expect to shortly open a call for two positions as part of a larger project (with colleagues in Munich). The focus is on deep learning over a large set of medical images (acquired in a longitudinal fashion) and in particular on linking the deep learning to graphical models and causality. The project overall aims to substantively move forward scientifically-interpretable learning in the context of longitudinal medical data.
-> For the PhD position, the key requirements are a good background in relevant mathematics and computing (linear algebra, probability, optimisation etc.). Previous exposure to the machine learning topics would be advantageous but not necessary. Prior knowledge concerning biomedical research is not required.
-> For the postdoc position, we are looking for candidates with a PhD in ML, statistics or a related field and a strong background in one or more of the relevant areas (deep learning, graphical models, causality, longitudinal data...). Given the focus on combining deep learning and graphical models, we are particularly interested in candidates with expertise in deep learning and an interest in graphical models and causality, or vice versa.
These positions would be within my group at the DZNE in Bonn, Germany. The DZNE is a flagship federal institute offering outstanding conditions for research. Bonn is a beautiful city on the banks of the Rhine, offering a high quality of life and a fantastic location in the heart of Europe.
To express interest in these positions, please email me with a CV and list of publications (as a single pdf please) asap.
sach.mukherjee@dzne.de
✔️ @ApplyTime
We expect to shortly open a call for two positions as part of a larger project (with colleagues in Munich). The focus is on deep learning over a large set of medical images (acquired in a longitudinal fashion) and in particular on linking the deep learning to graphical models and causality. The project overall aims to substantively move forward scientifically-interpretable learning in the context of longitudinal medical data.
-> For the PhD position, the key requirements are a good background in relevant mathematics and computing (linear algebra, probability, optimisation etc.). Previous exposure to the machine learning topics would be advantageous but not necessary. Prior knowledge concerning biomedical research is not required.
-> For the postdoc position, we are looking for candidates with a PhD in ML, statistics or a related field and a strong background in one or more of the relevant areas (deep learning, graphical models, causality, longitudinal data...). Given the focus on combining deep learning and graphical models, we are particularly interested in candidates with expertise in deep learning and an interest in graphical models and causality, or vice versa.
These positions would be within my group at the DZNE in Bonn, Germany. The DZNE is a flagship federal institute offering outstanding conditions for research. Bonn is a beautiful city on the banks of the Rhine, offering a high quality of life and a fantastic location in the heart of Europe.
To express interest in these positions, please email me with a CV and list of publications (as a single pdf please) asap.
sach.mukherjee@dzne.de
✔️ @ApplyTime
PhD student positions in Entrepreneurship and Innovation
The research subject Entrepreneurship and Innovation is seeking a PhD student within the framework of a newly started research school in Industrial Engineering and Management at Luleå University of Technology. As a doctoral student in the research school, you become part of the research environment within the Industrial Engineering and Management department with about sixty employees. You are placed within the subject group for Entrepreneurship and Innovation and are part of the graduate school together with doctoral students in Accounting and control, Quality Technology and Logistics and Industrial Marketing. The graduate school will start during the fall 2019 and spring 2020.
Entrepreneurship and innovation at Luleå University of Technology was established in 2006 and today has about 20 employees with a broad competence base. Our goal is to be an international center for the development and dissemination of future ideas in entrepreneurship and innovation. Entrepreneurship and innovation include organizational development with a particular focus on business development based on innovative products, services and production solutions, as well as ways of managing and organizing businesses. The research group collaborates with large national and international companies, small and medium-sized enterprises (SMEs), policy makers and other research groups. Research results are produced in close collaboration with industry and other community actors. To strengthen our research in business model innovation, we are now seeking a PhD student.
More info
✔️ @ApplyTime
The research subject Entrepreneurship and Innovation is seeking a PhD student within the framework of a newly started research school in Industrial Engineering and Management at Luleå University of Technology. As a doctoral student in the research school, you become part of the research environment within the Industrial Engineering and Management department with about sixty employees. You are placed within the subject group for Entrepreneurship and Innovation and are part of the graduate school together with doctoral students in Accounting and control, Quality Technology and Logistics and Industrial Marketing. The graduate school will start during the fall 2019 and spring 2020.
Entrepreneurship and innovation at Luleå University of Technology was established in 2006 and today has about 20 employees with a broad competence base. Our goal is to be an international center for the development and dissemination of future ideas in entrepreneurship and innovation. Entrepreneurship and innovation include organizational development with a particular focus on business development based on innovative products, services and production solutions, as well as ways of managing and organizing businesses. The research group collaborates with large national and international companies, small and medium-sized enterprises (SMEs), policy makers and other research groups. Research results are produced in close collaboration with industry and other community actors. To strengthen our research in business model innovation, we are now seeking a PhD student.
More info
✔️ @ApplyTime
www.ltu.se
Open positions Luleå University of Technology - Luleå University of Technology
Jobs LTU research company Shell, Ericsson, Scania LKAB airbus volvo IBM PhD student lecturer Professor teacher researchers technical administrative staff fact-finding live live north nyanstälda scholarship organization LTU History
PhD in Neuroscience – International Max Planck Research School (IMPRS) for Brain and Behavior
OB DESCRIPTION
Bonn, Germany / Jupiter (Florida), USA
JOB DESCRIPTION
Join our unique transatlantic PhD program in neuroscience!
The International Max Planck Research School for Brain and Behavior is a unique transatlantic collaboration between two Max Planck Neuroscience institutes – the Max Planck-associated Center for Advanced European Science and Research (caesar) and the Max Planck Florida Institute for Neuroscience – and the partner universities, University of Bonn and Florida Atlantic University. It offers a completely funded international PhD training and research program in the neurosciences in either Bonn, Germany, or Jupiter, Florida.
We offer an exciting opportunity to outstanding Bachelor's and/or Master's degree holders (or equivalent) from any field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating environment that provides novel technologies to elucidate the function of brain circuits from molecules to animal behavior. The comprehensive and diverse expertise of the faculty in the exploration of brain-circuit function using advanced imaging and optogenetic techniques combined with comprehensive training in fundamental neurobiology will provide students with an exceptional level of knowledge to pursue a successful independent research career.
IMPRS for Brain and Behavior has more than 40 laboratories with an enormous variety of research projects being carried out. Successful candidates can choose to do lab rotations in the first six months of their PhD.
Doctoral candidates receive both theoretical training and hands-on training in a large range of cutting-edge techniques. In addition, they are exposed to a variety of research areas all touching on how sensory information is encoded in neural circuits and is ultimately transferred to behavior. The unique transatlantic partnership maximizes the benefits of global education, allowing students the opportunity to interact with a broad group of international scientists and to earn a doctorate under outstanding research conditions.
Application period begins on 1 September. Please apply online before the 1 December 2019 deadline.
Exceptional candidates will be invited to attend a selection symposium end of February or beginning of March 2020, which provides the opportunity to meet with faculty members who have positions available and members of the selection committee.
How to apply
Please apply online at https://www.imprs-brain-behavior.org/admissions/application-info/ before the December 1st, 2019 deadline.
Follow us on social media!
Facebook: https://www.facebook.com/IMPRSBrainBehavior/
Twitter: @IMPRSBrainBehav
Instagram: imprs.brain.behavior
LinkedIn: https://www.linkedin.com/company/imprs-for-brain-and-behavior/
✔️ @ApplyTime
OB DESCRIPTION
Bonn, Germany / Jupiter (Florida), USA
JOB DESCRIPTION
Join our unique transatlantic PhD program in neuroscience!
The International Max Planck Research School for Brain and Behavior is a unique transatlantic collaboration between two Max Planck Neuroscience institutes – the Max Planck-associated Center for Advanced European Science and Research (caesar) and the Max Planck Florida Institute for Neuroscience – and the partner universities, University of Bonn and Florida Atlantic University. It offers a completely funded international PhD training and research program in the neurosciences in either Bonn, Germany, or Jupiter, Florida.
We offer an exciting opportunity to outstanding Bachelor's and/or Master's degree holders (or equivalent) from any field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating environment that provides novel technologies to elucidate the function of brain circuits from molecules to animal behavior. The comprehensive and diverse expertise of the faculty in the exploration of brain-circuit function using advanced imaging and optogenetic techniques combined with comprehensive training in fundamental neurobiology will provide students with an exceptional level of knowledge to pursue a successful independent research career.
IMPRS for Brain and Behavior has more than 40 laboratories with an enormous variety of research projects being carried out. Successful candidates can choose to do lab rotations in the first six months of their PhD.
Doctoral candidates receive both theoretical training and hands-on training in a large range of cutting-edge techniques. In addition, they are exposed to a variety of research areas all touching on how sensory information is encoded in neural circuits and is ultimately transferred to behavior. The unique transatlantic partnership maximizes the benefits of global education, allowing students the opportunity to interact with a broad group of international scientists and to earn a doctorate under outstanding research conditions.
Application period begins on 1 September. Please apply online before the 1 December 2019 deadline.
Exceptional candidates will be invited to attend a selection symposium end of February or beginning of March 2020, which provides the opportunity to meet with faculty members who have positions available and members of the selection committee.
How to apply
Please apply online at https://www.imprs-brain-behavior.org/admissions/application-info/ before the December 1st, 2019 deadline.
Follow us on social media!
Facebook: https://www.facebook.com/IMPRSBrainBehavior/
Twitter: @IMPRSBrainBehav
Instagram: imprs.brain.behavior
LinkedIn: https://www.linkedin.com/company/imprs-for-brain-and-behavior/
✔️ @ApplyTime
Ph.D. Scholarships in Economics, History and Civilization, Law and Political and Social Sciences – up to 150 Scholarships available
The European University Institute (EUI) offers four-year fully-funded Ph.D. programmes in Economics, History and Civilization, Law and Political and Social Sciences. Up to 150 scholarships are available for entry in September 2020, covering tuition and providing a monthly grant.
Our well-structured Ph.D. programmes include closely supervised dissertation work, courses on methods and theory, topical workshops as well as academic and professional development training.
Over 85% of EUI researchers successfully defend their thesis and more than 85% are either very satisfied or satisfied with their supervision.
Ph.D. researchers at the EUI enjoy:
Well-structured, fully funded Ph.D. programmes
An academic environment that promotes research independence with close supervision, working groups, advanced training and courses
Excellent research support facilities including an outstanding social science research Library, an onsite European Documentation Centre, and the Historical Archives of the European Union
A dynamic research community with visiting experts and highlevel institutional and government actors from around the world
Access to an international network of alumni holding posts in academia (60%), national-level institutions (7%), EU institutions (5%), international organisations (6%), the private sector (2%), law firms and NGOs (8.5%), and banks (1%)*
An international, multilingual and culturally diverse campus near Florence, Italy
*Alumni Destination Survey 2018
Read what our current Ph.D. researchers say about their EUI experience.
Application deadline: 31 January 2020
To find out more and to apply online before the 31 January deadline please visit: https://www.eui.eu/ServicesAndAdmin/AcademicService/DoctoralProgramme?utm_source=Advert&utm_medium=AcademicPositions&utm_campaign=PhD2020
About the EUI
The European University Institute is an international postgraduate teaching and research institute. It offers advanced academic training for doctoral and postdoctoral researchers and fosters research in fields that are of particular interest for the development of Europe. The Institute is composed of four departments—Economics, History and Civilization, Law, and Political and Social Sciences; the Robert Schuman Centre for Advanced Studies; the Max Weber Programme for Postdoctoral Studies; the School of Transnational Governance; and the Historical Archives of the European Union.
Grants and tuition fees for Ph.D. candidates are covered by the national grant-awarding authorities of our contracting states.
Contact applyres@eui.eu if you have any questions.
Qualification type: Ph.D.
Location: Florence, Italy
Funding for: EU students, international students
Funding amount: Not specified
Hours: Full-time
Placed on: 1 November 2019
Closes on: 31 January 2020
More info
✔️ @ApplyTime
The European University Institute (EUI) offers four-year fully-funded Ph.D. programmes in Economics, History and Civilization, Law and Political and Social Sciences. Up to 150 scholarships are available for entry in September 2020, covering tuition and providing a monthly grant.
Our well-structured Ph.D. programmes include closely supervised dissertation work, courses on methods and theory, topical workshops as well as academic and professional development training.
Over 85% of EUI researchers successfully defend their thesis and more than 85% are either very satisfied or satisfied with their supervision.
Ph.D. researchers at the EUI enjoy:
Well-structured, fully funded Ph.D. programmes
An academic environment that promotes research independence with close supervision, working groups, advanced training and courses
Excellent research support facilities including an outstanding social science research Library, an onsite European Documentation Centre, and the Historical Archives of the European Union
A dynamic research community with visiting experts and highlevel institutional and government actors from around the world
Access to an international network of alumni holding posts in academia (60%), national-level institutions (7%), EU institutions (5%), international organisations (6%), the private sector (2%), law firms and NGOs (8.5%), and banks (1%)*
An international, multilingual and culturally diverse campus near Florence, Italy
*Alumni Destination Survey 2018
Read what our current Ph.D. researchers say about their EUI experience.
Application deadline: 31 January 2020
To find out more and to apply online before the 31 January deadline please visit: https://www.eui.eu/ServicesAndAdmin/AcademicService/DoctoralProgramme?utm_source=Advert&utm_medium=AcademicPositions&utm_campaign=PhD2020
About the EUI
The European University Institute is an international postgraduate teaching and research institute. It offers advanced academic training for doctoral and postdoctoral researchers and fosters research in fields that are of particular interest for the development of Europe. The Institute is composed of four departments—Economics, History and Civilization, Law, and Political and Social Sciences; the Robert Schuman Centre for Advanced Studies; the Max Weber Programme for Postdoctoral Studies; the School of Transnational Governance; and the Historical Archives of the European Union.
Grants and tuition fees for Ph.D. candidates are covered by the national grant-awarding authorities of our contracting states.
Contact applyres@eui.eu if you have any questions.
Qualification type: Ph.D.
Location: Florence, Italy
Funding for: EU students, international students
Funding amount: Not specified
Hours: Full-time
Placed on: 1 November 2019
Closes on: 31 January 2020
More info
✔️ @ApplyTime
PhD student within wireless data and energy transfer Linkoping
Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!
The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects.
Read more at https://liu.se/en/organisation/liu/isy
LINKÖPING UNIVERSITY
Hereby advertises a position as
PhD student in Electronical Circuits and Systems
formally based at the Department of Electrical Engineering
Duties
You will work with research, development, and design of ultralow-power fully integrated wireless data transmitter/receiver and wireless energy harvesting for a photonic cell fluorescence detection microdevice. The goal is to create state-of-the-art technical platform with a focus on monitoring of diabetes in preclinical and clinical trials. The project endpoint is a fully implantable wireless micrometer-scale sensor device for temporal dynamic functional monitoring of pancreatic islets transplanted to the anterior chamber of the eye in diabetic and pre-diabetic animals. The project is expected to generate highly innovative circuits and systems solutions to be designed in advanced CMOS and possibly other semiconductor technologies, measured, verified, demonstrated, and published in top international journals and conferences in the field.
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.
More info
✔️ @ApplyTime
Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!
The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects.
Read more at https://liu.se/en/organisation/liu/isy
LINKÖPING UNIVERSITY
Hereby advertises a position as
PhD student in Electronical Circuits and Systems
formally based at the Department of Electrical Engineering
Duties
You will work with research, development, and design of ultralow-power fully integrated wireless data transmitter/receiver and wireless energy harvesting for a photonic cell fluorescence detection microdevice. The goal is to create state-of-the-art technical platform with a focus on monitoring of diabetes in preclinical and clinical trials. The project endpoint is a fully implantable wireless micrometer-scale sensor device for temporal dynamic functional monitoring of pancreatic islets transplanted to the anterior chamber of the eye in diabetic and pre-diabetic animals. The project is expected to generate highly innovative circuits and systems solutions to be designed in advanced CMOS and possibly other semiconductor technologies, measured, verified, demonstrated, and published in top international journals and conferences in the field.
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.
More info
✔️ @ApplyTime
liu.se
Department of Electrical Engineering (ISY)
At ISY, we conduct research and education in the field of Electrical Engineering. A strong emphasis is placed on research- and industrial collaborations.
Doctoral student in health care logistics
JOB DESCRIPTION
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Project denoscription
Third-cycle subject: Technology and Health
The ever increasing pressures to ensure the most effective usage of limited healthcare resources is leading to several transitions in health care, including increased adoption of digital technologies. There has been a dramatic increase in research around the digitalization of healthcare, and issues such as smooth and co-ordinated flows of information, patients, people and other resources. This has to a large extent been supported by systems approaches to processes and flows, enabled by modeling, analytics and operations research. The consideration of these flows goes beyond optimization approaches, requiring the joint analysis of social, institutional and technological aspects of processes. Health care logistics supports the analyses and design of these flows, and has the potential to ensure a properly co-ordinated healthcare system.
More info
✔️ @ApplyTime
JOB DESCRIPTION
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Project denoscription
Third-cycle subject: Technology and Health
The ever increasing pressures to ensure the most effective usage of limited healthcare resources is leading to several transitions in health care, including increased adoption of digital technologies. There has been a dramatic increase in research around the digitalization of healthcare, and issues such as smooth and co-ordinated flows of information, patients, people and other resources. This has to a large extent been supported by systems approaches to processes and flows, enabled by modeling, analytics and operations research. The consideration of these flows goes beyond optimization approaches, requiring the joint analysis of social, institutional and technological aspects of processes. Health care logistics supports the analyses and design of these flows, and has the potential to ensure a properly co-ordinated healthcare system.
More info
✔️ @ApplyTime
PhD position, Chemistry
JOB DESCRIPTION
The Faculty of Science is seeking to fill three full-time (100%) vacancies in the Department of Chemistry for a
Doctoral student in the area of chemistry
JOB DESCRIPTION
The Faculty of Science is seeking to fill three full-time (100%) vacancies in the Department of Chemistry for a
Doctoral student in the area of chemistry
Job denoscription
You prepare a doctorate thesis in the field of chemistry.
You contribute to (limited) teaching, research and service activities in the Department of Chemistry.
Profile and requirements
You hold a master degree in Chemistry, in Bio-engineering/Applied Biological Sciences or in Applied Sciences (engineering), each time with specialization in chemistry.
You can provide outstanding academic results.
The focus in your teaching corresponds to the educational vision of the university.
Your academic qualities comply with the requirements stipulated in the university’s policy.
You are quality-oriented, conscientious, creative and cooperative.
You are a motivated person, willing to show commitment for a doctoral project, and to apply for an external fellowship (e.g. FWO strategic research fellowships 2020).
You are communicative, and fluent in English and Dutch.
You show a pronounced interest in the research of one of the research groups of the Chemistry department at University of Antwerp.
We offer
a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
the start date of scholarship is March 1st 2020;
a gross monthly grant ranging from € 2.447,20 tot € 2.596,27;
a dynamic and stimulating work environment.
How to apply?
Applications may only be submitted online, until the closing date 15 December 2019.
A pre-selection will be made from amongst the submitted applications. The remainder of the selection procedure is specific to the position and will be determined by the selection panel.
The interviews of the candidates, preselected by a selection panel, will take place in the first half of January 2020.
More information about the application form can be obtained from vacatures@uantwerpen.be.
For questions about the profile and the denoscription of duties, please contact Prof. Filip Lemière – filip.lemiere@uantwerpen.be of tel. 03 265 34 06.
The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label HR Excellence in research.
We support the Science4Refugees initiative and encourage asylum-seeking, refugee scientists and researchers to apply for a job at the University of Antwerp.
Apply here
✔️ @ApplyTime
JOB DESCRIPTION
The Faculty of Science is seeking to fill three full-time (100%) vacancies in the Department of Chemistry for a
Doctoral student in the area of chemistry
JOB DESCRIPTION
The Faculty of Science is seeking to fill three full-time (100%) vacancies in the Department of Chemistry for a
Doctoral student in the area of chemistry
Job denoscription
You prepare a doctorate thesis in the field of chemistry.
You contribute to (limited) teaching, research and service activities in the Department of Chemistry.
Profile and requirements
You hold a master degree in Chemistry, in Bio-engineering/Applied Biological Sciences or in Applied Sciences (engineering), each time with specialization in chemistry.
You can provide outstanding academic results.
The focus in your teaching corresponds to the educational vision of the university.
Your academic qualities comply with the requirements stipulated in the university’s policy.
You are quality-oriented, conscientious, creative and cooperative.
You are a motivated person, willing to show commitment for a doctoral project, and to apply for an external fellowship (e.g. FWO strategic research fellowships 2020).
You are communicative, and fluent in English and Dutch.
You show a pronounced interest in the research of one of the research groups of the Chemistry department at University of Antwerp.
We offer
a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
the start date of scholarship is March 1st 2020;
a gross monthly grant ranging from € 2.447,20 tot € 2.596,27;
a dynamic and stimulating work environment.
How to apply?
Applications may only be submitted online, until the closing date 15 December 2019.
A pre-selection will be made from amongst the submitted applications. The remainder of the selection procedure is specific to the position and will be determined by the selection panel.
The interviews of the candidates, preselected by a selection panel, will take place in the first half of January 2020.
More information about the application form can be obtained from vacatures@uantwerpen.be.
For questions about the profile and the denoscription of duties, please contact Prof. Filip Lemière – filip.lemiere@uantwerpen.be of tel. 03 265 34 06.
The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label HR Excellence in research.
We support the Science4Refugees initiative and encourage asylum-seeking, refugee scientists and researchers to apply for a job at the University of Antwerp.
Apply here
✔️ @ApplyTime
PhD position, Microbial ecology - 2019
JOB DESCRIPTION
The Faculty of Science is seeking to fill a full-time (100%) vacancy in the Department of Biology for a
Doctoral student in the area of microbial ecology
Job denoscription
Microbial ecosystem functioning at oxic-anoxic interfaces in wetlands
Wetland (freshwater marshes, saltmarshes, mangroves) are highly biodiverse ecosystems, which are inundated by water, either permanently or seasonally, and where oxygen-free processes prevail. Wetlands represent a globally significant pool of soil carbon that has been accumulating for millennia, and are an important sink for carbon dioxide (“blue carbon”). Some of the organic material that is deposited in wetlands is degraded by the ambient microbial community, while some is sequestered. Efficient decomposition is hampered by the lack of oxygen, and micro-organisms living at the oxic-anoxic interface in wetlands have evolved a variety of strategies to overcome this obstacle and effectively decompose organic matter. Recently, new mechanisms have been discovered how microbes can overcome the problem of staying in contact with oxygen while “mining” for electron donors and other resources in anoxic environments. Examples are long filamentous bacteria that are capable of long-distance electron transport as well as fungi that can act as O2 transporting vessels. These mechanisms may be important near the inundation layer as well as at the oxic-anoxic interface around plant roots. Within this project the evolutionary and ecological background of microbial strategies to overcome O2 limitation in wetlands will be studied in detail. The PhD student will explore which evolutionary strategies are used and how they may affect the geochemical cycling of carbon and other elements in peatlands.
Apply here
✔️ @ApplyTime
JOB DESCRIPTION
The Faculty of Science is seeking to fill a full-time (100%) vacancy in the Department of Biology for a
Doctoral student in the area of microbial ecology
Job denoscription
Microbial ecosystem functioning at oxic-anoxic interfaces in wetlands
Wetland (freshwater marshes, saltmarshes, mangroves) are highly biodiverse ecosystems, which are inundated by water, either permanently or seasonally, and where oxygen-free processes prevail. Wetlands represent a globally significant pool of soil carbon that has been accumulating for millennia, and are an important sink for carbon dioxide (“blue carbon”). Some of the organic material that is deposited in wetlands is degraded by the ambient microbial community, while some is sequestered. Efficient decomposition is hampered by the lack of oxygen, and micro-organisms living at the oxic-anoxic interface in wetlands have evolved a variety of strategies to overcome this obstacle and effectively decompose organic matter. Recently, new mechanisms have been discovered how microbes can overcome the problem of staying in contact with oxygen while “mining” for electron donors and other resources in anoxic environments. Examples are long filamentous bacteria that are capable of long-distance electron transport as well as fungi that can act as O2 transporting vessels. These mechanisms may be important near the inundation layer as well as at the oxic-anoxic interface around plant roots. Within this project the evolutionary and ecological background of microbial strategies to overcome O2 limitation in wetlands will be studied in detail. The PhD student will explore which evolutionary strategies are used and how they may affect the geochemical cycling of carbon and other elements in peatlands.
Apply here
✔️ @ApplyTime
Industrial PhD Position: Disruption Solver for Airline Operation Control
JOB DESCRIPTION
Ph.D. Project to be done at KTH and Aviolinx in collaboration with Navblue – an AIRBUS company
KTH Royal Institute of Technology is represented by the division of optimization and systems theory at the department of Mathematics.
AVIOLINX provides software and services to the airline industry. Our focus is on developing innovative products and services designed specifically for the airline industry to optimize processes, reduce cost and increase revenue. Our flag ship product, N-RAIDO, is an Airline Management System that puts our customers in complete operational control of all strategic, financial and operations business processes throughout all stages of the airline operations including: Commercial planning, Flight operations, Crewing and post production analysis. AVIOLINX has a partnership with NAVBLUE. NAVBLUE, an Airbus Company, is a leading global provider of flight operations solutions which directly support millions of flights each year and help NAVBLUE’s airline customers maximize efficiency, reduce costs, ensure compliance with complex national and international safety regulations, and effectively deliver their services.
More info
✔️ @ApplyTime
JOB DESCRIPTION
Ph.D. Project to be done at KTH and Aviolinx in collaboration with Navblue – an AIRBUS company
KTH Royal Institute of Technology is represented by the division of optimization and systems theory at the department of Mathematics.
AVIOLINX provides software and services to the airline industry. Our focus is on developing innovative products and services designed specifically for the airline industry to optimize processes, reduce cost and increase revenue. Our flag ship product, N-RAIDO, is an Airline Management System that puts our customers in complete operational control of all strategic, financial and operations business processes throughout all stages of the airline operations including: Commercial planning, Flight operations, Crewing and post production analysis. AVIOLINX has a partnership with NAVBLUE. NAVBLUE, an Airbus Company, is a leading global provider of flight operations solutions which directly support millions of flights each year and help NAVBLUE’s airline customers maximize efficiency, reduce costs, ensure compliance with complex national and international safety regulations, and effectively deliver their services.
More info
✔️ @ApplyTime
PhD Position - Design and synthesis of trifunctional peptidomimetic scaffolds for DNA-Encoded Chemical Libraries (DECLs) in the oncology area
JOB DESCRIPTION
One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).
The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.
Goals of the network project
The Marie-Skłodowska-Curie European Training Network Magicbullet::Reloaded will develop and employ approaches for selective, targeted delivery of a panel of anticancer drugs for directed tumor therapy. The activities of the consortium will be devoted to four different project areas:
Small molecule-drug conjugates (SMDCs) and peptide-drug conjugates (PDCs)
Multivalency and crosstalk with the immune system
Pharmacokinetics: Transport, drug release, and metabolism
Biological evaluation of the conjugates
More info
✔️ @ApplyTime
JOB DESCRIPTION
One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).
The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.
Goals of the network project
The Marie-Skłodowska-Curie European Training Network Magicbullet::Reloaded will develop and employ approaches for selective, targeted delivery of a panel of anticancer drugs for directed tumor therapy. The activities of the consortium will be devoted to four different project areas:
Small molecule-drug conjugates (SMDCs) and peptide-drug conjugates (PDCs)
Multivalency and crosstalk with the immune system
Pharmacokinetics: Transport, drug release, and metabolism
Biological evaluation of the conjugates
More info
✔️ @ApplyTime
PhD Position - Design and synthesis of trifunctional peptidomimetic scaffolds for DNA-Encoded Chemical Libraries (DECLs) in the oncology area
JOB DESCRIPTION
One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).
The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.
More info
✔️ @ApplyTime
JOB DESCRIPTION
One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).
The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.
More info
✔️ @ApplyTime
PhD Research Fellow In Political Science
JOB DESCRIPTION
About the position
1 100% position (possibly 2) is available at the University of Agder, Faculty of Social Sciences as PhD Research Fellow in Political Science, affiliated to the Department of Political Science and Management for a period of three years or four years with 25% required work duties. The position is located at Campus Kristiansand. The starting date is negotiable with the Faculty.
The position is at the Department of Political Science and Management, Faculty of Social Sciences in Kristiansand. More information about the department and its research groups.
Responsibilities
The PhD will focus on public administration/public policy. The position is funded by the university and will be part with one of the department’s two research groups: Governance and Leadership in the Public Sector and European Integration and Transnational Governance. The theme of the PhD Research fellow's project must fall into the areas of one of these research groups. More information about the PhD program.
More info
✔️ @ApplyTime
JOB DESCRIPTION
About the position
1 100% position (possibly 2) is available at the University of Agder, Faculty of Social Sciences as PhD Research Fellow in Political Science, affiliated to the Department of Political Science and Management for a period of three years or four years with 25% required work duties. The position is located at Campus Kristiansand. The starting date is negotiable with the Faculty.
The position is at the Department of Political Science and Management, Faculty of Social Sciences in Kristiansand. More information about the department and its research groups.
Responsibilities
The PhD will focus on public administration/public policy. The position is funded by the university and will be part with one of the department’s two research groups: Governance and Leadership in the Public Sector and European Integration and Transnational Governance. The theme of the PhD Research fellow's project must fall into the areas of one of these research groups. More information about the PhD program.
More info
✔️ @ApplyTime
PhD Environmental Sciences | Evaluating coastal landscape management
Key responsibilities
The new interdisciplinary Coastal landSCAPE (C-SCAPE) project aims to explore sustainable long-term sand nourishment strategies. Inspired by recent large-scale sand nourishments like the Sand Motor and Hondsbossche Dunes, the project examines how such strategies affect morphology and ecology, and how they translate to societal acceptance. The specific responsibilities for the PhD candidate include:
Development of an integrative evaluation framework for different forms of coastal engineering, based on ecosystem services;
Review and evaluate indicators of ecosystem services of coastal engineering;
Quantitative analysis and modelling of morphological, ecological and socio-economic data related to sandy coasts and ecosystem services;
Stakeholder analysis on the social value of coastal ecosystem services;
Scenario analysis of different sand nourishment designs over time and space, based on ecosystem service;
More info
✔️ @ApplyTime
Key responsibilities
The new interdisciplinary Coastal landSCAPE (C-SCAPE) project aims to explore sustainable long-term sand nourishment strategies. Inspired by recent large-scale sand nourishments like the Sand Motor and Hondsbossche Dunes, the project examines how such strategies affect morphology and ecology, and how they translate to societal acceptance. The specific responsibilities for the PhD candidate include:
Development of an integrative evaluation framework for different forms of coastal engineering, based on ecosystem services;
Review and evaluate indicators of ecosystem services of coastal engineering;
Quantitative analysis and modelling of morphological, ecological and socio-economic data related to sandy coasts and ecosystem services;
Stakeholder analysis on the social value of coastal ecosystem services;
Scenario analysis of different sand nourishment designs over time and space, based on ecosystem service;
More info
✔️ @ApplyTime
Leiden University
PhD Environmental Sciences | Evaluating coastal landscape management
Leiden University, the Faculty of Science and Institute of Environmental Sciences is looking for a PhD Environmental Sciences | Evaluating coastal landscape management
PhD in Risk Analysis of Software Requirements Specification
JOB DESCRIPTION
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of Software Engineering. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.
The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information, you may check: https://wwwen.uni.lu/snt/research/serval
PhD in Risk Analysis of Software Requirements Specification (m/f)
Ref: 50015333
Initial contract of 14 months, renewable for up to 36 months, with a further possible 1-year extension if required
Full time (40 hours / week)
Employee and student status
More info
✔️ @ApplyTime
JOB DESCRIPTION
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of Software Engineering. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.
The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information, you may check: https://wwwen.uni.lu/snt/research/serval
PhD in Risk Analysis of Software Requirements Specification (m/f)
Ref: 50015333
Initial contract of 14 months, renewable for up to 36 months, with a further possible 1-year extension if required
Full time (40 hours / week)
Employee and student status
More info
✔️ @ApplyTime
SnT EN
Security, Reasoning and Validation (SerVal)
SerVal conducts research in security and reliability in software engineering, with a particular focus on AI, data science and decision-making.
دوستانی که علاقهمند هستند در زمینهی هوش مصنوعی مهارتی کسب کنند و از اخبار و منابع اطلاع پیدا کنند، کانال تازه تاسیس زیر میتواند چراغ راه خوبی برای آنها باشد.
@DeepGravity
@DeepGravity
Hello everyone,
There is an open PhD position at the University of Bath in the Department for Architecture and Civil Engineering with Dr. Paul Shepherd. The PhD is funded by and within the framework of the ACORN project on Automating Concrete Construction in the Universities of Bath and Cambridge (http://automated.construction/).
Part of the PhD would involve developing a Digital Twin model for the built demonstrator of the project using a holistic approach from digital to physical. Nevertheless, the topic is relatively open.
More details here: https://www.findaphd.com/phds/project/automating-concrete-construction/?p115275.
Best,
Robin
✔️ @ApplyTime
There is an open PhD position at the University of Bath in the Department for Architecture and Civil Engineering with Dr. Paul Shepherd. The PhD is funded by and within the framework of the ACORN project on Automating Concrete Construction in the Universities of Bath and Cambridge (http://automated.construction/).
Part of the PhD would involve developing a Digital Twin model for the built demonstrator of the project using a holistic approach from digital to physical. Nevertheless, the topic is relatively open.
More details here: https://www.findaphd.com/phds/project/automating-concrete-construction/?p115275.
Best,
Robin
✔️ @ApplyTime
Apply Time Positions pinned «📣 دعوت به همکاری: اپلایتایم از عزیزان توانمند در زمینهی #مترجمی_زبان_انگلیسی دعوت به همکاری مینماید. ⚪️ آنچه که از شما انتظار داریم: • مدرک تحصیلی مهم نیست • مسئولیتپذیر، متعهد، خلاق و وقتشناس 📧 نحوهی درخواست: به منظور اپلای، رزومهی خود را به جیمیل…»
PhD Position in Deep Learning for Robotics at Istanbul Technical University (Turkey), in collaboration with Halmstad University (Sweden)
Artificial Intelligence and Robotics (AIR) Laboratory at Istanbul Technical University (ITU) announces the availability of a Ph.D. position in Deep Learning for Robotics.
The selected Ph.D. student will carry out research on developing novel neural networks to fuse various sensory data streams, derive semantics and generate policies to predict and prevent failures in the context of robot imitation learning of human manipulation actions. The research will be performed within the PARTNER (Predicting and Preventing Unsafe Situations for Service Robots) project funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The project is in close collaboration with Halmstad University (HH) and aims to design and develop an effective system for service robots to predict and prevent unsafe states.
The student will be employed by the AIR Lab at ITU. There is a certain possibility that the student will receive a Ph.D. degree from both universities (i.e. a double degree). The selected Ph.D. student will be placed at the AIR Lab where Assoc. Prof. Sanem Sariel will be the main supervisor and guide the daily work. The PHD work will be in close collaboration with Asst. Prof. Eren Erdal Aksoy as academic supervisor at HH. It is foreseen that shorter periods of time will be spent at HH to perform various robotics experiments.
The selected Ph.D. student will be responsible for conducting research within the PARTNER project and for participating in the required Ph.D. course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.
This is a full-time position available from January 2020 for a period of three years with a possibility of a further extension, subject to satisfactory progress of the Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available.
Requirements
The ideal candidate has a Master’s degree in robotics, computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in robotics, computer vision, machine learning, or software engineering is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in ROS and deep learning is a plus.
Application
A full application consists of:
1. a detailed CV
2. a motivation letter / research statement
3. two reference letters
4. copies/links to publications and software samples, if any
5. degree certificates and grade trannoscripts (master and bachelor)
List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.
Applications should be sent to: sariel@itu.edu.tr and eren.aksoy@hh.se
Closing date
The application deadline is 06 December 2019.
For more information about the position, please contact Associate Prof. Sanem Sariel (sariel@itu.edu.tr) and/or Assistant Prof. Eren Erdal Aksoy (eren.aksoy@hh.se)
Kind regards,
Eren Aksoy
---
Eren Erdal Aksoy
Assistant Professor
✔️ @ApplyTime
Artificial Intelligence and Robotics (AIR) Laboratory at Istanbul Technical University (ITU) announces the availability of a Ph.D. position in Deep Learning for Robotics.
The selected Ph.D. student will carry out research on developing novel neural networks to fuse various sensory data streams, derive semantics and generate policies to predict and prevent failures in the context of robot imitation learning of human manipulation actions. The research will be performed within the PARTNER (Predicting and Preventing Unsafe Situations for Service Robots) project funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The project is in close collaboration with Halmstad University (HH) and aims to design and develop an effective system for service robots to predict and prevent unsafe states.
The student will be employed by the AIR Lab at ITU. There is a certain possibility that the student will receive a Ph.D. degree from both universities (i.e. a double degree). The selected Ph.D. student will be placed at the AIR Lab where Assoc. Prof. Sanem Sariel will be the main supervisor and guide the daily work. The PHD work will be in close collaboration with Asst. Prof. Eren Erdal Aksoy as academic supervisor at HH. It is foreseen that shorter periods of time will be spent at HH to perform various robotics experiments.
The selected Ph.D. student will be responsible for conducting research within the PARTNER project and for participating in the required Ph.D. course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.
This is a full-time position available from January 2020 for a period of three years with a possibility of a further extension, subject to satisfactory progress of the Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available.
Requirements
The ideal candidate has a Master’s degree in robotics, computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in robotics, computer vision, machine learning, or software engineering is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in ROS and deep learning is a plus.
Application
A full application consists of:
1. a detailed CV
2. a motivation letter / research statement
3. two reference letters
4. copies/links to publications and software samples, if any
5. degree certificates and grade trannoscripts (master and bachelor)
List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.
Applications should be sent to: sariel@itu.edu.tr and eren.aksoy@hh.se
Closing date
The application deadline is 06 December 2019.
For more information about the position, please contact Associate Prof. Sanem Sariel (sariel@itu.edu.tr) and/or Assistant Prof. Eren Erdal Aksoy (eren.aksoy@hh.se)
Kind regards,
Eren Aksoy
---
Eren Erdal Aksoy
Assistant Professor
✔️ @ApplyTime
Positions in Machine Learning and Game Playing
The Johannes Kepler University Linz (JKU), Austria, is looking for
doctoral and post-doctoral researchers in machine learning or
knowledge discovery in databases for the newly formed Computational
Data Analytics group of Prof. Johannes Fürnkranz. We are particularly looking for researchers in one or
more of the following areas
• Interpretability in AI
• Inductive Rule Learning
• Preference Learning and Reinforcement Learning
• Multi-Label Classification
• Data Mining and Knowledge Discovery
• Monte-Carlo Tree Search
• Machine Learning and Game Playing
Job denoscription:
• Conduct independent research and collaborate in
machine learning projects
• Publish in renowned international journals and conferences
• Supervise students and support lectures of the group
Requirements:
1. Master’s Degree or Ph.D. in Computer Science or a related area
2. Strong background and track record in machine learning or
knowledge discovery
3. Knowledge and prior work in one or more of the above-mentioned
areas is a plus
4. Willingness and ability to work in a team and to support
students and lectures
About the group:
The Computational Data Analytics group at JKU Linz has started in October 2019, within the Institute for Application-Oriented
Knowledge Processing (FAW) [1]. Together with the existing groups of
Prof. Sepp Hochreiter (Machine Learning) or Prof. Gerhard Widmer
(Computational Perception), the Computer Science Department of JKU
Linz [2] has become a leading center for machine learning and
artificial intelligence research in Austria and beyond. In Winter Term
2019, JKU has started the first Bachelor’s [3] and Master’s [4] study programs in Artificial Intelligence in Austria.
About the location:
The area offers excellent quality of living in the heart of Europe -
close to the alps between Vienna, Salzburg, Prague and Munich. Linz
provides a superb cultural environment, e.g. with the Ars Electronica
Festival and the nearby Salzburg Festival. Moreover, the
world-cultural heritage sites Hallstatt and Český Krumlov are less
than two hours away. The picturesque and versatile landscape provides
countless options for recreation and sports in nature (skiing, hiking,
climbing, cycling, and many more).
How to apply:
Prospective applicants interested in these positions are requested to
electronically send an application via the online portal
http://jku.at/application.
Please specify Job Reference Number 3989 (for Ph.D. student) or 3990
(for Post-Doc) in your application.
Please provide us with
- a CV
- a research statement concerning one or more of the above-mentioned areas, and
- a sample of your writing in English or German (thesis, publication, …)
The positions are open until filled, next decisions will be made on
November 23th, 2019. If you have questions, please contact Prof.
Johannes Fürnkranz (johannes.fuernkranz@jku.at).
References:
[1] https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/
[2] http://informatik.jku.at/
[3] https://www.jku.at/en/degree-programs/types-of-degree-programs/bachelors-and-diploma-degree-programs/ba-artificial-intelligence/
[4] https://www.jku.at/en/degree-programs/types-of-degree-programs/masters-degree-programs/ma-artificial-intelligence/
✔️ @ApplyTime
The Johannes Kepler University Linz (JKU), Austria, is looking for
doctoral and post-doctoral researchers in machine learning or
knowledge discovery in databases for the newly formed Computational
Data Analytics group of Prof. Johannes Fürnkranz. We are particularly looking for researchers in one or
more of the following areas
• Interpretability in AI
• Inductive Rule Learning
• Preference Learning and Reinforcement Learning
• Multi-Label Classification
• Data Mining and Knowledge Discovery
• Monte-Carlo Tree Search
• Machine Learning and Game Playing
Job denoscription:
• Conduct independent research and collaborate in
machine learning projects
• Publish in renowned international journals and conferences
• Supervise students and support lectures of the group
Requirements:
1. Master’s Degree or Ph.D. in Computer Science or a related area
2. Strong background and track record in machine learning or
knowledge discovery
3. Knowledge and prior work in one or more of the above-mentioned
areas is a plus
4. Willingness and ability to work in a team and to support
students and lectures
About the group:
The Computational Data Analytics group at JKU Linz has started in October 2019, within the Institute for Application-Oriented
Knowledge Processing (FAW) [1]. Together with the existing groups of
Prof. Sepp Hochreiter (Machine Learning) or Prof. Gerhard Widmer
(Computational Perception), the Computer Science Department of JKU
Linz [2] has become a leading center for machine learning and
artificial intelligence research in Austria and beyond. In Winter Term
2019, JKU has started the first Bachelor’s [3] and Master’s [4] study programs in Artificial Intelligence in Austria.
About the location:
The area offers excellent quality of living in the heart of Europe -
close to the alps between Vienna, Salzburg, Prague and Munich. Linz
provides a superb cultural environment, e.g. with the Ars Electronica
Festival and the nearby Salzburg Festival. Moreover, the
world-cultural heritage sites Hallstatt and Český Krumlov are less
than two hours away. The picturesque and versatile landscape provides
countless options for recreation and sports in nature (skiing, hiking,
climbing, cycling, and many more).
How to apply:
Prospective applicants interested in these positions are requested to
electronically send an application via the online portal
http://jku.at/application.
Please specify Job Reference Number 3989 (for Ph.D. student) or 3990
(for Post-Doc) in your application.
Please provide us with
- a CV
- a research statement concerning one or more of the above-mentioned areas, and
- a sample of your writing in English or German (thesis, publication, …)
The positions are open until filled, next decisions will be made on
November 23th, 2019. If you have questions, please contact Prof.
Johannes Fürnkranz (johannes.fuernkranz@jku.at).
References:
[1] https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/
[2] http://informatik.jku.at/
[3] https://www.jku.at/en/degree-programs/types-of-degree-programs/bachelors-and-diploma-degree-programs/ba-artificial-intelligence/
[4] https://www.jku.at/en/degree-programs/types-of-degree-programs/masters-degree-programs/ma-artificial-intelligence/
✔️ @ApplyTime
Post-Doctoral Researcher in Cross-National Demography of Family Structure and Health - OPEN UNTIL FILLED
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (University of Western Ontario), and other colleagues on a National Institute of Aging funded research grant. This position will be devoted to research related to patterns of family structure and population health in aging populations around the world. This position requires a Ph.D. or equivalent degree by the position start-date. The successful candidate will be encouraged to develop their own research program in addition to collaborating with the research team. A background in demography, sociology, economics, health sciences, gerontology, or statistics is preferred. We are especially interested in candidates who are strong writers and have expertise in survey methodology and data analysis, with proficiency in R and/or Stata. Experience working with a research team and knowledge of advanced demographic techniques is desired. We seek a candidate who is self-motivated, detail-oriented, responsible, team-oriented, and creative, with excellent interpersonal, written communication, and organizational skills. Please submit a brief cover letter describing relevant experience, a current curriculum vitae, and contact information (name, current position noscript, mailing address, telephone number, and e-mail address) for three professional references electronically. This is a one year fixed-term appointment with high likelihood of an additional year of funding. The position start date is flexible but is expected to begin between March 1, 2020 and September 1, 2020. Applicants who wish to work remotely will be considered. Review of applications begins on January 10, 2020 and will continue until the position is filled. Salary will be competitive and commensurate with experience; travel and research support is budgeted for the Postdoctoral Scholar to attend annual conferences, training workshops, and obtain necessary materials and software.
More information here.
✔️ @ApplyTime
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (University of Western Ontario), and other colleagues on a National Institute of Aging funded research grant. This position will be devoted to research related to patterns of family structure and population health in aging populations around the world. This position requires a Ph.D. or equivalent degree by the position start-date. The successful candidate will be encouraged to develop their own research program in addition to collaborating with the research team. A background in demography, sociology, economics, health sciences, gerontology, or statistics is preferred. We are especially interested in candidates who are strong writers and have expertise in survey methodology and data analysis, with proficiency in R and/or Stata. Experience working with a research team and knowledge of advanced demographic techniques is desired. We seek a candidate who is self-motivated, detail-oriented, responsible, team-oriented, and creative, with excellent interpersonal, written communication, and organizational skills. Please submit a brief cover letter describing relevant experience, a current curriculum vitae, and contact information (name, current position noscript, mailing address, telephone number, and e-mail address) for three professional references electronically. This is a one year fixed-term appointment with high likelihood of an additional year of funding. The position start date is flexible but is expected to begin between March 1, 2020 and September 1, 2020. Applicants who wish to work remotely will be considered. Review of applications begins on January 10, 2020 and will continue until the position is filled. Salary will be competitive and commensurate with experience; travel and research support is budgeted for the Postdoctoral Scholar to attend annual conferences, training workshops, and obtain necessary materials and software.
More information here.
✔️ @ApplyTime
psu.jobs
Post-Doctoral Researcher in Cross-National Demography of Family Structure and Health
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (Univ