Looking for masters cum phd student position in AL, ML or NLP area.
Dear Researchers and Professors,
Greetings! I trust you are doing great.
I am Partha Pratim Saha, a Senior Data Scientist, looking for an Integrated Master's cum PhD studentship position across the globe in the areas of Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing or in related areas of Computer Science.
I would expect a scholarship as I am planning to start this position as soon as possible.
Please let me know if you and/or any of your colleagues are interested in taking a student.
Thanking you. I look forward hearing from you soon.
Sincerely,
Partha Pratim Saha
Email: technical.partha@gmail.com
✔️ @ApplyTime
Dear Researchers and Professors,
Greetings! I trust you are doing great.
I am Partha Pratim Saha, a Senior Data Scientist, looking for an Integrated Master's cum PhD studentship position across the globe in the areas of Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing or in related areas of Computer Science.
I would expect a scholarship as I am planning to start this position as soon as possible.
Please let me know if you and/or any of your colleagues are interested in taking a student.
Thanking you. I look forward hearing from you soon.
Sincerely,
Partha Pratim Saha
Email: technical.partha@gmail.com
✔️ @ApplyTime
PhD position in IP/Internet law, applying empirical methods
Dear all,
at the Center for Law & Economics at ETH Zurich, we are currently looking for PhD students who want to work on IP, antitrust, privacy, Internet law and/or legal tech, applying quantitative empirical methods. For more information, please click here.
Best regards,
Stefan
--
Stefan Bechtold ∙ sbechtold@ethz.ch
Professor of Intellectual Property
Center for Law & Economics, ETH Zurich
www.lawecon.ethz.ch ∙ www.ip.ethz.ch
✔️ @ApplyTime
Dear all,
at the Center for Law & Economics at ETH Zurich, we are currently looking for PhD students who want to work on IP, antitrust, privacy, Internet law and/or legal tech, applying quantitative empirical methods. For more information, please click here.
Best regards,
Stefan
--
Stefan Bechtold ∙ sbechtold@ethz.ch
Professor of Intellectual Property
Center for Law & Economics, ETH Zurich
www.lawecon.ethz.ch ∙ www.ip.ethz.ch
✔️ @ApplyTime
Two exciting positions (Associate Professor and Assistant Professor) at Uppsala University.
Hi,
Here are two exciting positions at Uppsala University, Sweden:
Associate Professor in Scientific Computing with specialization in Data Science
https://uu.se/en/about-uu/join-us/details/?positionId=298728
Assistant Professor in Scientific Computing
https://uu.se/en/about-uu/join-us/details/?positionId=298708
Regards..
Salman.
✔️ @ApplyTime
Hi,
Here are two exciting positions at Uppsala University, Sweden:
Associate Professor in Scientific Computing with specialization in Data Science
https://uu.se/en/about-uu/join-us/details/?positionId=298728
Assistant Professor in Scientific Computing
https://uu.se/en/about-uu/join-us/details/?positionId=298708
Regards..
Salman.
✔️ @ApplyTime
uu.se
Associate Professor in Scientific Computing with specialization in Data Science - Uppsala University, Sweden
Associate Professor in Scientific Computing with specialization in Data Science, Uppsala University, Department of Information Technology, Uppsala University
postdoc positions in machine learning and image analysis at Oregon Health and Science University
Machine learning and deep learning are changing how biomedical research is conducted and how patients are diagnosed and treated. Computational image analysis leverages large-scale machine learning on high performance computing infrastructure to transform qualitative science to quantitative science. We develop innovative machine learning and computer vision algorithms and apply them to biomedicine so that they are used by biomedical researchers and physicians in the clinic. First and foremost, you will be trained to become a machine learning scientist (most of our graduates work in high-tech companies such as Microsoft, Nvidia, Intel, Apple, and Amazon). Furthermore, you will work in an exciting interdisciplinary environment with the potential to directly impact medical research, cancer care and patients’ lives.
You Will:
Work and collaborate with a diverse team of machine learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment.
Create algorithms and software in machine learning and deep learning for quantitative image analysis that enable discoveries in biomedicine and the evaluation of biological variation in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, and analysis. The imaging modalities may include electron microscopy, cyclic immunofluorescence, MRI and CT.
Leverage the unique opportunity within the field of computer vision and cancer research provided by the massive amount of image data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as (semi-)supervised, weakly supervised and unsupervised machine learning methods.
Have the opportunity to leverage modern computing clusters with hundreds of GPU’s and large cluster of DGX nodes.
Required Skills:
PhD Degree in Computer Science, Electrical Engineering, Biomedical Engineering, Math, Physics, or other engineering and science field, with the focus on machine learning, or computer vision or image analysis.
Strong analytical and computing skills.
Proficiency in advanced programming languages such as Python, Matlab, C/C++ or Java.
Interest in machine learning & deep learning and their application in medicine.
Knowledge about cancer biology and microscopic imaging is a plus but not a requirement.
OSHU is located in Portland, Oregon, in the Pacific Northwest. It is in close proximity of the “Silicon Forest” that consists of many high-tech companies. Portland boasts a thriving biotech scene with many biomedical companies, and is known for its mild climate, natural beauty, access to outdoors, and quality of living. Please send your CV to songx@oshu.edu.
✔️ @ApplyTime
Machine learning and deep learning are changing how biomedical research is conducted and how patients are diagnosed and treated. Computational image analysis leverages large-scale machine learning on high performance computing infrastructure to transform qualitative science to quantitative science. We develop innovative machine learning and computer vision algorithms and apply them to biomedicine so that they are used by biomedical researchers and physicians in the clinic. First and foremost, you will be trained to become a machine learning scientist (most of our graduates work in high-tech companies such as Microsoft, Nvidia, Intel, Apple, and Amazon). Furthermore, you will work in an exciting interdisciplinary environment with the potential to directly impact medical research, cancer care and patients’ lives.
You Will:
Work and collaborate with a diverse team of machine learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment.
Create algorithms and software in machine learning and deep learning for quantitative image analysis that enable discoveries in biomedicine and the evaluation of biological variation in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, and analysis. The imaging modalities may include electron microscopy, cyclic immunofluorescence, MRI and CT.
Leverage the unique opportunity within the field of computer vision and cancer research provided by the massive amount of image data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as (semi-)supervised, weakly supervised and unsupervised machine learning methods.
Have the opportunity to leverage modern computing clusters with hundreds of GPU’s and large cluster of DGX nodes.
Required Skills:
PhD Degree in Computer Science, Electrical Engineering, Biomedical Engineering, Math, Physics, or other engineering and science field, with the focus on machine learning, or computer vision or image analysis.
Strong analytical and computing skills.
Proficiency in advanced programming languages such as Python, Matlab, C/C++ or Java.
Interest in machine learning & deep learning and their application in medicine.
Knowledge about cancer biology and microscopic imaging is a plus but not a requirement.
OSHU is located in Portland, Oregon, in the Pacific Northwest. It is in close proximity of the “Silicon Forest” that consists of many high-tech companies. Portland boasts a thriving biotech scene with many biomedical companies, and is known for its mild climate, natural beauty, access to outdoors, and quality of living. Please send your CV to songx@oshu.edu.
✔️ @ApplyTime
PhD positions in Hawaii: Deep Learning for Astronomy, Physics, and Oceanography
Funded PhD positions in deep learning are available in Professor Peter Sadowski's lab at the University of Hawaiʻi Mānoa, an R1 research university located in Honolulu and a playground for machine learning and data science. The lab has numerous interdisciplinary collaborations applying deep learning to astronomy, cosmology, high-energy physics, solar physics, oceanography, remote sensing, climate modeling, biology, and medical imaging.
Dr. Sadowski will be presenting at the NeurIPS 2019 Workshop on Machine Learning for the Physical Sciences, so please introduce yourself if you are also attending NeurIPS.
UH Mānoa is surrounded by verdant mountains and two miles from Waikiki surfing. Researchers have unique access to volcano-top observatories, ocean research stations, and tropical reef ecosystems. The High-Performance Computing center at UH houses a new GPU cluster specifically for deep learning research. Professor Sadowski is also Co-Founder of the AI Precision Health Institute at the UH Cancer Center, which is applying AI to medical imaging data from Hawaii's incredibly diverse population.
Lab webpage:
https://www2.hawaii.edu/~psadow
Data Science Institute:
http://datascience.hawaii.edu
AI Precision Health Institute:
https://aiphi.shepherdresearchlab.org
Article about University of Hawaiʻi:
https://www.linkedin.com/pulse/hawai%CA%BBi-playground-data-science-margaretta-colangelo
Interested students are encouraged to reach out to peter.sadowski@hawaii.edu.
✔️ @ApplyTime
Funded PhD positions in deep learning are available in Professor Peter Sadowski's lab at the University of Hawaiʻi Mānoa, an R1 research university located in Honolulu and a playground for machine learning and data science. The lab has numerous interdisciplinary collaborations applying deep learning to astronomy, cosmology, high-energy physics, solar physics, oceanography, remote sensing, climate modeling, biology, and medical imaging.
Dr. Sadowski will be presenting at the NeurIPS 2019 Workshop on Machine Learning for the Physical Sciences, so please introduce yourself if you are also attending NeurIPS.
UH Mānoa is surrounded by verdant mountains and two miles from Waikiki surfing. Researchers have unique access to volcano-top observatories, ocean research stations, and tropical reef ecosystems. The High-Performance Computing center at UH houses a new GPU cluster specifically for deep learning research. Professor Sadowski is also Co-Founder of the AI Precision Health Institute at the UH Cancer Center, which is applying AI to medical imaging data from Hawaii's incredibly diverse population.
Lab webpage:
https://www2.hawaii.edu/~psadow
Data Science Institute:
http://datascience.hawaii.edu
AI Precision Health Institute:
https://aiphi.shepherdresearchlab.org
Article about University of Hawaiʻi:
https://www.linkedin.com/pulse/hawai%CA%BBi-playground-data-science-margaretta-colangelo
Interested students are encouraged to reach out to peter.sadowski@hawaii.edu.
✔️ @ApplyTime
Freigeist' Fellowships
area of research: all disciplines
type of funding: own position (head of junior research group)
depending on the nature of the project, up to 2.2 million Euro for two funding phases
up to 5 (+3) years or 6 (+2) years
outstanding junior researchers who wish to carry out research at the boundaries between established fields of research
prerequisites: PhD degree no longer than four years prior to submission; linked to research institution in Germany; completed change of academic environment and research sojourn abroad
additional benefits: funding for communication of science and research; special family related benefits; additional funding for refugee scholars and scientists; training programs
Deadline: October 15, 2020
Deadline: October 14, 2021
Objective
A 'Freigeist' fellow: for the Volkswagen Foundation this means a young researcher with a strong personality, a creative mind, an ability to identify and use freedom, dedicated to overcoming resistance. If necessary, he or she will be a free spirit, enjoying the unexpected, even unexpected difficulties. A 'Freigeist' fellow opens up new horizons and combines critical analysis with imagination and innovative solutions. By thinking ahead the 'Freigeist' fellow will act as a catalyst in overcoming existing disciplinary, institutional and even national boundaries.
More info
✔️ @ApplyTime
area of research: all disciplines
type of funding: own position (head of junior research group)
depending on the nature of the project, up to 2.2 million Euro for two funding phases
up to 5 (+3) years or 6 (+2) years
outstanding junior researchers who wish to carry out research at the boundaries between established fields of research
prerequisites: PhD degree no longer than four years prior to submission; linked to research institution in Germany; completed change of academic environment and research sojourn abroad
additional benefits: funding for communication of science and research; special family related benefits; additional funding for refugee scholars and scientists; training programs
Deadline: October 15, 2020
Deadline: October 14, 2021
Objective
A 'Freigeist' fellow: for the Volkswagen Foundation this means a young researcher with a strong personality, a creative mind, an ability to identify and use freedom, dedicated to overcoming resistance. If necessary, he or she will be a free spirit, enjoying the unexpected, even unexpected difficulties. A 'Freigeist' fellow opens up new horizons and combines critical analysis with imagination and innovative solutions. By thinking ahead the 'Freigeist' fellow will act as a catalyst in overcoming existing disciplinary, institutional and even national boundaries.
More info
✔️ @ApplyTime
International Student Fellowship at Ruhr University Bochum
The short-term stipend gives talented international students an opportunity to become familiar with a foreign lab, the research topics of the SFB 874 and to learn the skills they need to begin a PhD project in the SFB. After successfully passing the immersion programme the candidate will be integrated into the PhD-programme of the Integrated Research Training Group of the SFB 874 and take part in its curriculum which is operated under the auspices of the International Graduate School of Neuroscience .
Who can apply?
International students who have not previously lived in Germany
Students from all countries are welcome
Criteria:
Applicants must hold a Master's, Diploma or equivalent degree in neuroscience, biology, chemistry, engineering, mathematics, psychology or other neuroscience-related fields, including an experimental thesis
An interest in the topics of the SFB 874
An excellent academic record and fluent English skills
What we offer:
A scholarship of 1300 € for a maximum of 6 months (the scholarship holder has to bear the cost of health insurance)
Theoretical and practical training in the research fields of the SFB 874
State-of-the-art technology
An international network of renowned scientists
Integration into the social and cultural life of the RUB and the city of Bochum
Documents required for the Application:
Motivation letter, including a denoscription of the applicant's interest in the SFB 874, a brief summary of previous research work, research interests, professional goals and practical experience
Curriculum Vitae
Relevant certificates and degrees
Names and addresses of two referees
Applications may be submitted at any time via sfb874-irtg@rub.de.
For further questions and queries regarding the International Student Fellowship please contact sfb874-irtg@rub.de.
More info
Academic Positions, [08.12.19 12:08]
Freigeist' Fellowships
area of research: all disciplines
type of funding: own position (head of junior research group)
depending on the nature of the project, up to 2.2 million Euro for two funding phases
up to 5 (+3) years or 6 (+2) years
outstanding junior researchers who wish to carry out research at the boundaries between established fields of research
prerequisites: PhD degree no longer than four years prior to submission; linked to research institution in Germany; completed change of academic environment and research sojourn abroad
additional benefits: funding for communication of science and research; special family related benefits; additional funding for refugee scholars and scientists; training programs
Deadline: October 15, 2020
Deadline: October 14, 2021
Objective
A 'Freigeist' fellow: for the Volkswagen Foundation this means a young researcher with a strong personality, a creative mind, an ability to identify and use freedom, dedicated to overcoming resistance. If necessary, he or she will be a free spirit, enjoying the unexpected, even unexpected difficulties. A 'Freigeist' fellow opens up new horizons and combines critical analysis with imagination and innovative solutions. By thinking ahead the 'Freigeist' fellow will act as a catalyst in overcoming existing disciplinary, institutional and even national boundaries.
More info
✔️ @ApplyTime
The short-term stipend gives talented international students an opportunity to become familiar with a foreign lab, the research topics of the SFB 874 and to learn the skills they need to begin a PhD project in the SFB. After successfully passing the immersion programme the candidate will be integrated into the PhD-programme of the Integrated Research Training Group of the SFB 874 and take part in its curriculum which is operated under the auspices of the International Graduate School of Neuroscience .
Who can apply?
International students who have not previously lived in Germany
Students from all countries are welcome
Criteria:
Applicants must hold a Master's, Diploma or equivalent degree in neuroscience, biology, chemistry, engineering, mathematics, psychology or other neuroscience-related fields, including an experimental thesis
An interest in the topics of the SFB 874
An excellent academic record and fluent English skills
What we offer:
A scholarship of 1300 € for a maximum of 6 months (the scholarship holder has to bear the cost of health insurance)
Theoretical and practical training in the research fields of the SFB 874
State-of-the-art technology
An international network of renowned scientists
Integration into the social and cultural life of the RUB and the city of Bochum
Documents required for the Application:
Motivation letter, including a denoscription of the applicant's interest in the SFB 874, a brief summary of previous research work, research interests, professional goals and practical experience
Curriculum Vitae
Relevant certificates and degrees
Names and addresses of two referees
Applications may be submitted at any time via sfb874-irtg@rub.de.
For further questions and queries regarding the International Student Fellowship please contact sfb874-irtg@rub.de.
More info
Academic Positions, [08.12.19 12:08]
Freigeist' Fellowships
area of research: all disciplines
type of funding: own position (head of junior research group)
depending on the nature of the project, up to 2.2 million Euro for two funding phases
up to 5 (+3) years or 6 (+2) years
outstanding junior researchers who wish to carry out research at the boundaries between established fields of research
prerequisites: PhD degree no longer than four years prior to submission; linked to research institution in Germany; completed change of academic environment and research sojourn abroad
additional benefits: funding for communication of science and research; special family related benefits; additional funding for refugee scholars and scientists; training programs
Deadline: October 15, 2020
Deadline: October 14, 2021
Objective
A 'Freigeist' fellow: for the Volkswagen Foundation this means a young researcher with a strong personality, a creative mind, an ability to identify and use freedom, dedicated to overcoming resistance. If necessary, he or she will be a free spirit, enjoying the unexpected, even unexpected difficulties. A 'Freigeist' fellow opens up new horizons and combines critical analysis with imagination and innovative solutions. By thinking ahead the 'Freigeist' fellow will act as a catalyst in overcoming existing disciplinary, institutional and even national boundaries.
More info
✔️ @ApplyTime
Monash Business School International Pathway Scholarship
Are you an international student who is studying the Monash University Foundation Year (MUFY)? If you are planning to study business at Monash, you may be eligible for this scholarship. Recipients will be awarded $6000 per year to assist with course fees.
More info
✔️ @ApplyTime
Are you an international student who is studying the Monash University Foundation Year (MUFY)? If you are planning to study business at Monash, you may be eligible for this scholarship. Recipients will be awarded $6000 per year to assist with course fees.
More info
✔️ @ApplyTime
Study at Monash
Monash Business School International Pathway Scholarship
Get all the right information needed to apply the Monash Business School international Pathway Scholarship or check your eligibility. Learn more with Monash University.
Hardiman PhD Scholarships 2020, Irland
Students starting their PhD in September 2020. The Hardiman PhD Scholarships are fully funded for four years, with a stipend of €16,000 p.a. plus fees. High-achieving dynamic individuals, with drive and passion, who have an appetite for the research world and creativity, who thrive on intellectual excitement, and who will positively impact and shape the future for all in our society. Using your creative energy, your PhD journey at NUI Galway will be alive with possibilities and opportunities.
More info
✔️ @ApplyTime
Students starting their PhD in September 2020. The Hardiman PhD Scholarships are fully funded for four years, with a stipend of €16,000 p.a. plus fees. High-achieving dynamic individuals, with drive and passion, who have an appetite for the research world and creativity, who thrive on intellectual excitement, and who will positively impact and shape the future for all in our society. Using your creative energy, your PhD journey at NUI Galway will be alive with possibilities and opportunities.
More info
✔️ @ApplyTime
Scholarships and Tuition Estimates for International students
Murray State University Scholarships are awarded to students pursuing a graduate or undergraduate degree at Murray State University. These scholarships provide a variety of academic, athletic, and service-based scholarship award opportunities to both domestic and international students. There are many different types of scholarships available. Access the scholarship application form if you are an admitted or current student.
More info
✔️ @ApplyTime
Murray State University Scholarships are awarded to students pursuing a graduate or undergraduate degree at Murray State University. These scholarships provide a variety of academic, athletic, and service-based scholarship award opportunities to both domestic and international students. There are many different types of scholarships available. Access the scholarship application form if you are an admitted or current student.
More info
✔️ @ApplyTime
www.murraystate.edu
Scholarships and Cost of Attendance for International Students
Estimated cost of attendance for international students at Murray State University. Tuition, Fees and Living Expenses.
Research Fellow position at
IMATI-Consiglio Nazionale delle Ricerche - Genova
Project MAREMMA: Study and development of Methods and tools for industrial maintenance with augmented/mixed Reality
Contract:
Type of contract: assegno professionalizzante
Duration 1 year with possibility of extension of 1 additional year (2 year project)
Annual Salary: 19.367 € (≈ 1.450 monthly net salary + pension contribution)
Prerequisites:
≤ 29 years old on 15/6/2018
Master/Laurea magistrale as specified in the call for tender
The call for tender will appear under OPPORTUNITIES at www.imati.cnr.it
Objectives of the training project:
development of basic and advanced skills in the field of geometric modeling and Augmented and Mixed Reality
knowledge acquisition of application problems through direct contacts with industrial realities
Planned activities:
attendance to courses and/or conferences in the sector;
definition and prototype development of a smart assistant to support the operator during the installation, verification and maintenance phases of industrial plants or complex mechanical products.
Development of basic and advanced skills in
Modelling and analysis of 2/3D data
Technologies for Augmented and Mixed reality
Human/computer interaction methods
Complex algorithms development
CAD/PLM systems
Potential application contexts:
Manufacturing
Safety
Cultural heritage
Medicine
Gaming
Training
Turism
Company involved in the training activities:
CAD.I.TECH ( https://www.caditech.it/)
Interested companies: Esaote, GrindingTechnology Meccanodora Morara Tacchella
If interested please contact
Franca Giannini
franca.giannini@ge.imati.cnr.it
Istituto di Matematica Applicata e Tecnologie Informatiche
Consiglio Nazionale delle Ricerche
via De Marini, 6 - 16149 Genova - Italy
Fax+39 010 6475660 tel. +39 010 6475666
Skypeid: francag
http://www.imati.cnr.it/index.php/people?layout=edit&id=94
✔️ @ApplyTime
IMATI-Consiglio Nazionale delle Ricerche - Genova
Project MAREMMA: Study and development of Methods and tools for industrial maintenance with augmented/mixed Reality
Contract:
Type of contract: assegno professionalizzante
Duration 1 year with possibility of extension of 1 additional year (2 year project)
Annual Salary: 19.367 € (≈ 1.450 monthly net salary + pension contribution)
Prerequisites:
≤ 29 years old on 15/6/2018
Master/Laurea magistrale as specified in the call for tender
The call for tender will appear under OPPORTUNITIES at www.imati.cnr.it
Objectives of the training project:
development of basic and advanced skills in the field of geometric modeling and Augmented and Mixed Reality
knowledge acquisition of application problems through direct contacts with industrial realities
Planned activities:
attendance to courses and/or conferences in the sector;
definition and prototype development of a smart assistant to support the operator during the installation, verification and maintenance phases of industrial plants or complex mechanical products.
Development of basic and advanced skills in
Modelling and analysis of 2/3D data
Technologies for Augmented and Mixed reality
Human/computer interaction methods
Complex algorithms development
CAD/PLM systems
Potential application contexts:
Manufacturing
Safety
Cultural heritage
Medicine
Gaming
Training
Turism
Company involved in the training activities:
CAD.I.TECH ( https://www.caditech.it/)
Interested companies: Esaote, GrindingTechnology Meccanodora Morara Tacchella
If interested please contact
Franca Giannini
franca.giannini@ge.imati.cnr.it
Istituto di Matematica Applicata e Tecnologie Informatiche
Consiglio Nazionale delle Ricerche
via De Marini, 6 - 16149 Genova - Italy
Fax+39 010 6475660 tel. +39 010 6475666
Skypeid: francag
http://www.imati.cnr.it/index.php/people?layout=edit&id=94
✔️ @ApplyTime
PhD position in Computer Vision, Machine Learning and Robotics at TU Berlin
The Robotic Interactive Perception Lab at the Technical University of Berlin (Germany) has the following open position:
Working field:
The PhD candidate will investigate novel vision-based algorithms that combine model-based and machine learning methods for scene understanding and spatial AI (motion estimation, segmentation, 3D reconstruction, etc.) using traditional cameras and novel sensors, such as event-based cameras ( https://arxiv.org/abs/1904.08405 ). The work combines multiple disciplines in Robotics: perception, optimization (learning) and control.
Requirements:
- Successfully completed university degree (Master, Diplom or equivalent) in Computer Science or a related engineering subject with outstanding results.
- Excellent knowledge of and experience with computer vision, robotics, machine learning, control, object-oriented programming and applied mathematics.
- Excellent written and spoken English skills. Willingness to learn German is expected.
How to apply:
Required documents:
- Cover Letter with your interest and experience related to the position (1 page).
- CV. Please indicate your relevant skills, scientific publications, awards, research videos and/or code, professional profile(s).
- Bachelor’s and Master's degrees and trannoscripts. Specify your GPA (e.g. 3.8/4.0)
Please send your application with the usual documents as one single PDF file to guillermo.gallego@tu-berlin.de
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
For more information, please see https://stellenticket.de/73648/?lang=en
Prof. Guillermo Gallego
Technische Universität Berlin
Fakultät IV Elektrotechnik und Informatik
Marchstrasse 23, Sekr. MAR 5-5
10587 Berlin, Germany.
e-mail: guillermo.gallego {at} tu-berlin.de
✔️ @ApplyTime
The Robotic Interactive Perception Lab at the Technical University of Berlin (Germany) has the following open position:
Working field:
The PhD candidate will investigate novel vision-based algorithms that combine model-based and machine learning methods for scene understanding and spatial AI (motion estimation, segmentation, 3D reconstruction, etc.) using traditional cameras and novel sensors, such as event-based cameras ( https://arxiv.org/abs/1904.08405 ). The work combines multiple disciplines in Robotics: perception, optimization (learning) and control.
Requirements:
- Successfully completed university degree (Master, Diplom or equivalent) in Computer Science or a related engineering subject with outstanding results.
- Excellent knowledge of and experience with computer vision, robotics, machine learning, control, object-oriented programming and applied mathematics.
- Excellent written and spoken English skills. Willingness to learn German is expected.
How to apply:
Required documents:
- Cover Letter with your interest and experience related to the position (1 page).
- CV. Please indicate your relevant skills, scientific publications, awards, research videos and/or code, professional profile(s).
- Bachelor’s and Master's degrees and trannoscripts. Specify your GPA (e.g. 3.8/4.0)
Please send your application with the usual documents as one single PDF file to guillermo.gallego@tu-berlin.de
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
For more information, please see https://stellenticket.de/73648/?lang=en
Prof. Guillermo Gallego
Technische Universität Berlin
Fakultät IV Elektrotechnik und Informatik
Marchstrasse 23, Sekr. MAR 5-5
10587 Berlin, Germany.
e-mail: guillermo.gallego {at} tu-berlin.de
✔️ @ApplyTime
ML Postdoc positions at UC-San Diego
My group (pengtaoxie.github.io) at the University of California San Diego is looking for postdocs in the area of machine learning. We encourage applications from outstanding candidates who are highly motivated and strongly interested in conducting fundamental research in machine learning and its applications in healthcare. We work on the models, algorithms, and theories of sample-efficient learning, interpretable learning, deep generative models, etc. and their applications in healthcare and medicine.
For further information, please refer to this page pengtaoxie.github.io
Applicants should have (or be expected to have) a PhD degree in Computer Science, Electrical Engineering, Statistics, or other related fields. A strong publication record in top ML conferences/journals is preferred.
If interested, feel free to contact me directly via pengtaoxie2008@gmail.com
✔️ @ApplyTime
My group (pengtaoxie.github.io) at the University of California San Diego is looking for postdocs in the area of machine learning. We encourage applications from outstanding candidates who are highly motivated and strongly interested in conducting fundamental research in machine learning and its applications in healthcare. We work on the models, algorithms, and theories of sample-efficient learning, interpretable learning, deep generative models, etc. and their applications in healthcare and medicine.
For further information, please refer to this page pengtaoxie.github.io
Applicants should have (or be expected to have) a PhD degree in Computer Science, Electrical Engineering, Statistics, or other related fields. A strong publication record in top ML conferences/journals is preferred.
If interested, feel free to contact me directly via pengtaoxie2008@gmail.com
✔️ @ApplyTime
Topic: Data privacy for big data / machine learning
Location: Hamilton Institute, Maynooth University, Ireland
Award: 4-year studentship.
Annual stipend of 18,500 EUR + 100% of tuition fees (EU students)
About the position:
The PhD student will conduct research within the area of data privacy for
big data. Focus is on the use of big data for machine learning and data
mining. The PhD student will be supervised by Prof. Vicenc Torra:
http://www.mdai.cat/vtorra
This position is within INSIGHT2, the SFI Research Centre for Data
Analytics (https://www.insight-centre.org/). Thus, the student will form
part of a research cluster that also includes Dublin City University,
National University of Ireland Galway, University College Cork, University
College Dublin.
The student will be located at the Hamilton Institute, Maynooth
University, Ireland. The Hamilton Institute, Maynooth University
participates in the SFI CRT in Foundations of Data Science, which with
four different intakes, will train 100+ PhD students on the foundations of
Data Science.
The studentship is for 48 months and includes a tax free stipend of
€18,500 p.a. and the payment of academic fees up to a maximum of €5,500
per annum, as well as a computer and travel allowance.
Requirements:
- Degree in computer science/engineering, mathematics, or related areas.
The bases of evaluation (items greatly valued) are
- Good knowledge of programming, especially for implementing efficient algorithms
- Good knowledge of mathematics and statistics
- Good knowledge of machine learning
Applications should include
- a motivation letter, explaining the interest and experience in the
proposed research fields,
- a detailed CV (including names and contact details of at least two
references), and
Send documentation to: (deadline Dec. 14th)
- Hamilton Institute <hamilton@mu.ie>
- Email subject: PhD on data privacy
Contact:
For enquiries: Vicenc.Torra@mu.ie
Links:
Vicenc Torra
http://www.mdai.cat/vtorra
https://www.maynoothuniversity.ie/people/vicenc-torra
Hamilton Institute:
https://www.maynoothuniversity.ie/hamilton
Maynooth University:
https://www.maynoothuniversity.ie/international/why-maynooth
Advertisement:
https://www.maynoothuniversity.ie/hamilton/vacancies
✔️ @ApplyTime
Location: Hamilton Institute, Maynooth University, Ireland
Award: 4-year studentship.
Annual stipend of 18,500 EUR + 100% of tuition fees (EU students)
About the position:
The PhD student will conduct research within the area of data privacy for
big data. Focus is on the use of big data for machine learning and data
mining. The PhD student will be supervised by Prof. Vicenc Torra:
http://www.mdai.cat/vtorra
This position is within INSIGHT2, the SFI Research Centre for Data
Analytics (https://www.insight-centre.org/). Thus, the student will form
part of a research cluster that also includes Dublin City University,
National University of Ireland Galway, University College Cork, University
College Dublin.
The student will be located at the Hamilton Institute, Maynooth
University, Ireland. The Hamilton Institute, Maynooth University
participates in the SFI CRT in Foundations of Data Science, which with
four different intakes, will train 100+ PhD students on the foundations of
Data Science.
The studentship is for 48 months and includes a tax free stipend of
€18,500 p.a. and the payment of academic fees up to a maximum of €5,500
per annum, as well as a computer and travel allowance.
Requirements:
- Degree in computer science/engineering, mathematics, or related areas.
The bases of evaluation (items greatly valued) are
- Good knowledge of programming, especially for implementing efficient algorithms
- Good knowledge of mathematics and statistics
- Good knowledge of machine learning
Applications should include
- a motivation letter, explaining the interest and experience in the
proposed research fields,
- a detailed CV (including names and contact details of at least two
references), and
Send documentation to: (deadline Dec. 14th)
- Hamilton Institute <hamilton@mu.ie>
- Email subject: PhD on data privacy
Contact:
For enquiries: Vicenc.Torra@mu.ie
Links:
Vicenc Torra
http://www.mdai.cat/vtorra
https://www.maynoothuniversity.ie/people/vicenc-torra
Hamilton Institute:
https://www.maynoothuniversity.ie/hamilton
Maynooth University:
https://www.maynoothuniversity.ie/international/why-maynooth
Advertisement:
https://www.maynoothuniversity.ie/hamilton/vacancies
✔️ @ApplyTime
www.mdai.cat
Vicenç Torra
Vicenc Torra Web Page
Research Fellow/Assistant Professor in Optimization for Machine Learning (tenure track) - closing date December 9 approaching
The Wallenberg AI, Autonomous Systems and Software Program (WASP) is
Sweden’s largest individual research program ever; a major national
initiative for strategically motivated basic research, education and
faculty recruitment (see https://wasp-sweden.org). WASP comprises five
Swedish full partner universities and a substantial part of Swedish
industry and commerce. WASP aims to strengthen Linköping University
specifically in the field of machine learning within the AI focus-area
of WASP.
We seek competence in Optimization for Machine Learning. The major task
for this position is fundamental research in the area of mathematical
optimization theory and novel techniques for machine learning. Examples
of research topics are: sparse optimization, saddle point search,
multi-object learning, and stochastic quasi-Newton methods. Although the
expertise should primarily be in optimization, the applicant should
ideally also have experience in machine learning.
The financing of the position, established through WASP (Wallenberg AI,
Autonomous Systems and Software Program, https://wasp-sweden.org),
includes support for the position holder’s own salary during 4–5 years
and a research group with two postdocs (2 years each) and one PhD
student (4 years).
If you are looking for work at an excellent young university, living in
urban or rural environments with commuting distance of 15 min, and want
to possibly exploit your research results commercially (YOU will
completely OWN your IPR): Apply before December 9!
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=12518&rmlang=UK
Best regards
Michael Felsberg
✔️ @ApplyTime
The Wallenberg AI, Autonomous Systems and Software Program (WASP) is
Sweden’s largest individual research program ever; a major national
initiative for strategically motivated basic research, education and
faculty recruitment (see https://wasp-sweden.org). WASP comprises five
Swedish full partner universities and a substantial part of Swedish
industry and commerce. WASP aims to strengthen Linköping University
specifically in the field of machine learning within the AI focus-area
of WASP.
We seek competence in Optimization for Machine Learning. The major task
for this position is fundamental research in the area of mathematical
optimization theory and novel techniques for machine learning. Examples
of research topics are: sparse optimization, saddle point search,
multi-object learning, and stochastic quasi-Newton methods. Although the
expertise should primarily be in optimization, the applicant should
ideally also have experience in machine learning.
The financing of the position, established through WASP (Wallenberg AI,
Autonomous Systems and Software Program, https://wasp-sweden.org),
includes support for the position holder’s own salary during 4–5 years
and a research group with two postdocs (2 years each) and one PhD
student (4 years).
If you are looking for work at an excellent young university, living in
urban or rural environments with commuting distance of 15 min, and want
to possibly exploit your research results commercially (YOU will
completely OWN your IPR): Apply before December 9!
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=12518&rmlang=UK
Best regards
Michael Felsberg
✔️ @ApplyTime
liu.se
Vacancies
Take your next step along your career path with us. Check out our job openings and apply directly!
Research Associate (Bioinformatics) - Department of Population and Quantitative Health Sciences
Research Associate in Bioinformatics position in The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine has a Research Associate position available in the area of bioinformatics and computational analysis of genomic, trannoscriptomic, molecular and pathways studies in a systems biology laboratory with local and national collaborations in chronic human diseases, such as psoriasis and cancer. Successful candidates will have at least 5 years of experience in genomics, functional genomics (RNA-Seq, proteomics) and systems biology with publications in computer science and in genetics, genomics or systems biology.
The responsibilities for this position include applying existing analytical methods and pipelines, as well as developing new methods for analyzing genetic, genomic and systems data from studies of human disease, and where appropriate similar data from animal model studies. The successful candidates will conduct original research in development of bioinformatic, computational, statistical and related analytical methods. The positions involve collaborations locally, nationally and internationally, while presenting research results at national and international conferences and writing research papers and grants.
The Candidates will display independence and technical and analytical skills in 1) computer science and statistics - bioinformatics (Rand Bioconductor), network and pathway analysis, linear regression/modeling, and multivariate analysis. 2) Next generation sequencing methods and data analysis include DNA sequencing, microbiome, immunophenotyping, mRNA and miRNA profiling, and data integration, amongst others.
Applicants should submit a curriculum vitae, a brief statement of research interests, and contact information for at least three references to mark.cameron@case.edu
More info
✔️ @ApplyTime
Research Associate in Bioinformatics position in The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine has a Research Associate position available in the area of bioinformatics and computational analysis of genomic, trannoscriptomic, molecular and pathways studies in a systems biology laboratory with local and national collaborations in chronic human diseases, such as psoriasis and cancer. Successful candidates will have at least 5 years of experience in genomics, functional genomics (RNA-Seq, proteomics) and systems biology with publications in computer science and in genetics, genomics or systems biology.
The responsibilities for this position include applying existing analytical methods and pipelines, as well as developing new methods for analyzing genetic, genomic and systems data from studies of human disease, and where appropriate similar data from animal model studies. The successful candidates will conduct original research in development of bioinformatic, computational, statistical and related analytical methods. The positions involve collaborations locally, nationally and internationally, while presenting research results at national and international conferences and writing research papers and grants.
The Candidates will display independence and technical and analytical skills in 1) computer science and statistics - bioinformatics (Rand Bioconductor), network and pathway analysis, linear regression/modeling, and multivariate analysis. 2) Next generation sequencing methods and data analysis include DNA sequencing, microbiome, immunophenotyping, mRNA and miRNA profiling, and data integration, amongst others.
Applicants should submit a curriculum vitae, a brief statement of research interests, and contact information for at least three references to mark.cameron@case.edu
More info
✔️ @ApplyTime
Academic Careers | Case Western Reserve University
Research Associate (Bioinformatics) - Department of Population and Quantitative Health Sciences | Academic Careers | Case Western…
Research Associate in Bioinformatics position in The Department of Population and Quantitative Health Sciences at Case Western Reserve University Sch...
Doctoral Researcher (f/m/d) Project C5 “Optimal design of chiral structures”
- part time (75%) -
Job denoscription
The Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically simulate, and eventually manipulate wave propagation under realistic scenarios by intertwining analysis and numerics.
The context of the work in Project C5 is the interaction between the electromagnetic field and chiral matter, like chiral molecules, or artificial chiral nanostructures. One of the main objectives in the project is to further the current understanding of electromagnetic chirality measures related to the question: How chiral is an object? In this context, a general object will be represented by its scattering operator (far-field operator). It is foreseen that the transformation properties of the scattering operator under physically relevant groups will be one of the main subjects of study. Improving the ways that material chirality is quantified can have an impact both in practical problems like sensing of chiral molecules, and in solving theoretical puzzles like the decades-old chiral zeros problem. Also, aspects related to the actual design of electromagnetically chiral objects are important in this research. The work is done collaboratively with researchers from the Departments of Physics and Mathematics at the Karlsruhe Institute of Technology.
More info
✔️ @ApplyTime
- part time (75%) -
Job denoscription
The Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically simulate, and eventually manipulate wave propagation under realistic scenarios by intertwining analysis and numerics.
The context of the work in Project C5 is the interaction between the electromagnetic field and chiral matter, like chiral molecules, or artificial chiral nanostructures. One of the main objectives in the project is to further the current understanding of electromagnetic chirality measures related to the question: How chiral is an object? In this context, a general object will be represented by its scattering operator (far-field operator). It is foreseen that the transformation properties of the scattering operator under physically relevant groups will be one of the main subjects of study. Improving the ways that material chirality is quantified can have an impact both in practical problems like sensing of chiral molecules, and in solving theoretical puzzles like the decades-old chiral zeros problem. Also, aspects related to the actual design of electromagnetically chiral objects are important in this research. The work is done collaboratively with researchers from the Departments of Physics and Mathematics at the Karlsruhe Institute of Technology.
More info
✔️ @ApplyTime
PhD-Position - Conception, Design and Development of an Electricity and Gas Grid Simulation Environment for System Analysis using an HPC Infrastructure
Your Job:
Analysis of the current state of the art in quasi dynamic and dynamic simulation of power and gas grids
Development and programming of a simulation environment that is able to capture the interaction between different energy grids faster than real-time using HPC infrastructures
Development of integrated software tools for automated data analysis, which facilitate sorting and structuring for the user and provide a supportive approach for research by means of integrated administration, interpretation and evaluation mechanisms
Development and implementation of a data basis and models for the energy infrastructures on the campus Forschungszentrum Jülich
Validation of the implemented simulation models
More info
✔️ @ApplyTime
Your Job:
Analysis of the current state of the art in quasi dynamic and dynamic simulation of power and gas grids
Development and programming of a simulation environment that is able to capture the interaction between different energy grids faster than real-time using HPC infrastructures
Development of integrated software tools for automated data analysis, which facilitate sorting and structuring for the user and provide a supportive approach for research by means of integrated administration, interpretation and evaluation mechanisms
Development and implementation of a data basis and models for the energy infrastructures on the campus Forschungszentrum Jülich
Validation of the implemented simulation models
More info
✔️ @ApplyTime
www.fz-juelich.de
Forschungszentrum Jülich - Current Vacancies - PhD-Position - Conception, Design and Development of an Electricity and Gas Grid…
PhD Fellowship in Functional Proteomics and Tissue Plasticity
The DNRF Centre of Excellence, Center for Functional Genomics and Tissue Plasticity (ATLAS) at the University of Southern Denmark invites applications for a PhD scholarship from outstanding candidates with a keen interest in applying mass spectrometry-based functional proteomics to understand the molecular and cellular basis underlying tissue plasticity. The position is available from 1 February 2019, or as soon as possible thereafter. Application deadline: 9 December 2019.
More info
✔️ @ApplyTime
The DNRF Centre of Excellence, Center for Functional Genomics and Tissue Plasticity (ATLAS) at the University of Southern Denmark invites applications for a PhD scholarship from outstanding candidates with a keen interest in applying mass spectrometry-based functional proteomics to understand the molecular and cellular basis underlying tissue plasticity. The position is available from 1 February 2019, or as soon as possible thereafter. Application deadline: 9 December 2019.
More info
✔️ @ApplyTime
SDU
PhD Fellowship in Functional Proteomics and Tissue Plasticity - University of Southern Denmark, SDU
The DNRF Centre of Excellence, <a href="https://www.sdu.dk/en/ATLAS" target="_blank" rel="noopener">Center for Functional Genomics and Tissue Plasticity (ATLAS) at the University of Southern Denmark invites applications for a PhD scholarship from outstanding…
PhD scholarship at the Department of Business and Economics
The successful applicant must be able to demonstrate
Excellent grades at the bachelor and master's levels in economics, political science, public health or related social scientific disciplines;
Profound knowledge of statistical methods;
Good knowledge of Stata or similar statistical programs;
Excellent communication skills in English (enclosing results of TOEFL and GRE tests is encouraged but not mandatory).
For further information, please contact Prof. Jørgen T. Lauridsen (jtl@sam.sdu.dk) for queries in general or matters related to Economics, Public Health or Social Science. For matters related to Political Science, you may contact Pieter Vanhuysse (vanhuysse@sam.sdu.dk).
More info
✔️ @ApplyTime
The successful applicant must be able to demonstrate
Excellent grades at the bachelor and master's levels in economics, political science, public health or related social scientific disciplines;
Profound knowledge of statistical methods;
Good knowledge of Stata or similar statistical programs;
Excellent communication skills in English (enclosing results of TOEFL and GRE tests is encouraged but not mandatory).
For further information, please contact Prof. Jørgen T. Lauridsen (jtl@sam.sdu.dk) for queries in general or matters related to Economics, Public Health or Social Science. For matters related to Political Science, you may contact Pieter Vanhuysse (vanhuysse@sam.sdu.dk).
More info
✔️ @ApplyTime
Neural Computation lab
We welcome inquiries about joining the lab. Our group is highly multidisciplinary, and is home to students and postdocs from diverse fields, ranging from physical and engineering sciences, to molecular and cell biology, as well as those with a background in mathematics or statistics. For all inquiries, please email Michael Häusser (m.hausser@ucl.ac.uk).
Postdoctoral positions
We aim to attract ambitious, hardworking postdocs interested in attacking major challenges in neuroscience. There are a range of funding opportunities available.
NEW: we currently have a postdoctoral position available for a project involving the use of the revolutionary new Neuropixels probes as part of the International Brain Laboratory. For more information, contact Michael Häusser (m.hausser@ucl.ac.uk).
PhD positions
Most PhD students join the lab by enrolling in one of UCL's outstanding 4-year PhD programmes, such as the 4-year PhD Programme in Neuroscience; the CoMPLEX PhD programme, the Gatsby Unit PhD Programme, or the MRC Doctoral Training Account. If you are not eligible for these programmes, or would like to make an informal inquiry prior to making an application, please get in touch.
Internships
We welcome applications from UCL students interested in doing a final-year project in the lab. We also welcome candidates for lab internships throughout the year; those interested in doing a summer project in the lab should contact us well in advance of the deadlines for summer studentship applications from the Wellcome Trust and the Physiological Society.
More info
✔️ @ApplyTime
We welcome inquiries about joining the lab. Our group is highly multidisciplinary, and is home to students and postdocs from diverse fields, ranging from physical and engineering sciences, to molecular and cell biology, as well as those with a background in mathematics or statistics. For all inquiries, please email Michael Häusser (m.hausser@ucl.ac.uk).
Postdoctoral positions
We aim to attract ambitious, hardworking postdocs interested in attacking major challenges in neuroscience. There are a range of funding opportunities available.
NEW: we currently have a postdoctoral position available for a project involving the use of the revolutionary new Neuropixels probes as part of the International Brain Laboratory. For more information, contact Michael Häusser (m.hausser@ucl.ac.uk).
PhD positions
Most PhD students join the lab by enrolling in one of UCL's outstanding 4-year PhD programmes, such as the 4-year PhD Programme in Neuroscience; the CoMPLEX PhD programme, the Gatsby Unit PhD Programme, or the MRC Doctoral Training Account. If you are not eligible for these programmes, or would like to make an informal inquiry prior to making an application, please get in touch.
Internships
We welcome applications from UCL students interested in doing a final-year project in the lab. We also welcome candidates for lab internships throughout the year; those interested in doing a summer project in the lab should contact us well in advance of the deadlines for summer studentship applications from the Wellcome Trust and the Physiological Society.
More info
✔️ @ApplyTime