Post-doc in Conversational Recommendation at U. of Toronto
I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.
The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.
Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.
Deadline: the candidate should be able to start on or before Dec 1, 2021.
If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.
Dr. Scott P. Sanner
Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/
✔️ @ApplyTime
I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.
The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.
Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.
Deadline: the candidate should be able to start on or before Dec 1, 2021.
If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.
Dr. Scott P. Sanner
Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/
✔️ @ApplyTime
Research position at the Vrije Universiteit Brussel (VUB)
One Scientific Research position in Affective Neuroscience (PhD: 4 years/Postdoc/Scientific researcher: 3 years) is available at the Vrije Universiteit Brussel (VUB), Department of Clinical studies and Neuroimaging, VUB, Brussels, Belgium in collaboration with the Psychophysiology Lab headed by Prof. James Gross of the University of Stanford, US. Content: The candidate works on the experimental investigation of bottom-up experiential emotion regulation as a central working mechanism within experiential psychotherapy, complementary to top-down cognitive reappraisal as a central working mechanism in cognitive-behavioral psychotherapy. The candidate will assess the respective behavioral and neurophysiological effects.
Profile: We are looking for a highly motivated applicant. The candidate has a master's degree in psychology, biomedical, medical sciences, or affective- and cognitive neuroscience, or related areas. He or she has affinity with experimental research. English communication and writing skills are required. Methodological interest and autonomy are vital skills for this position.
Interested? Interested candidates can apply by e-mail. Please provide a motivation letter and full Curriculum Vitae, including the names and contact information of at least two references. The deadline for application is the end of August 2021. For additional information, you can contact Marie Vandekerckhove: Marie.Vandekerckhove@vub.be.
✔️ @ApplyTime
One Scientific Research position in Affective Neuroscience (PhD: 4 years/Postdoc/Scientific researcher: 3 years) is available at the Vrije Universiteit Brussel (VUB), Department of Clinical studies and Neuroimaging, VUB, Brussels, Belgium in collaboration with the Psychophysiology Lab headed by Prof. James Gross of the University of Stanford, US. Content: The candidate works on the experimental investigation of bottom-up experiential emotion regulation as a central working mechanism within experiential psychotherapy, complementary to top-down cognitive reappraisal as a central working mechanism in cognitive-behavioral psychotherapy. The candidate will assess the respective behavioral and neurophysiological effects.
Profile: We are looking for a highly motivated applicant. The candidate has a master's degree in psychology, biomedical, medical sciences, or affective- and cognitive neuroscience, or related areas. He or she has affinity with experimental research. English communication and writing skills are required. Methodological interest and autonomy are vital skills for this position.
Interested? Interested candidates can apply by e-mail. Please provide a motivation letter and full Curriculum Vitae, including the names and contact information of at least two references. The deadline for application is the end of August 2021. For additional information, you can contact Marie Vandekerckhove: Marie.Vandekerckhove@vub.be.
✔️ @ApplyTime
Multiple RF Positions at National University of Singapore for Cisco-NUS Accelerated Digital Economy Corporate Laboratory
https://ids.nus.edu.sg/ciscojobs.html
Overview
We are looking for multiple Research Fellows to participate in a new project ennoscriptd “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.
Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.
Research Fellow:
Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.
Responsibilities:
Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on information extraction and knowledge discovery from conversational data;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external partners and collaborators;
Requirements:
A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
Excellent interpersonal communication and oral presentation skills in English.
For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.
✔️ @ApplyTime
https://ids.nus.edu.sg/ciscojobs.html
Overview
We are looking for multiple Research Fellows to participate in a new project ennoscriptd “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.
Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.
Research Fellow:
Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.
Responsibilities:
Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on information extraction and knowledge discovery from conversational data;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external partners and collaborators;
Requirements:
A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
Excellent interpersonal communication and oral presentation skills in English.
For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.
✔️ @ApplyTime
Postdoc position in ML/computational neuroscience/genomics at UCSF
The Abbasi Lab at the University of California, San Francisco (UCSF) in collaboration with Bin Yu at UC Berkeley and Hongkui Zeng and Bosiljka Tasic at the Allen Institute invites applications for a fully-funded postdoctoral position at the intersection of machine learning and gene expression analysis funded by the Weill Neurohub’s Next Great Idea Award. This is an opportunity to work on a high-impact interdisciplinary problem. The project aims to provide a computational framework to reveal building blocks of spatial gene expression profiles in the mouse brain. These building blocks or principal patterns will parcellate the brain into completely data-driven 3D brain areas and establish brain-area-specific local gene networks. Additionally, the project aims to leverage these analyses to better understand the patterns in the human gene expression datasets. The project involves designing and validating interpretable machine learning frameworks and statistical tools.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, computational biology, engineering, computational neuroscience, or related fields) and experience in programming and data analysis. Previous background in computational biology and neuroscience could be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support. As a part of the Weill Institute for Neuroscience, our laboratory is located on the Mission Bay campus providing access to the UCSF Neuroscience and Bioengineering communities including the Neuroscape, Kavli Institute for Fundamental Neuroscience and Baker Computational Health Science Institute.
Additional information is available at: https://abbasilab.org
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
✔️ @ApplyTime
The Abbasi Lab at the University of California, San Francisco (UCSF) in collaboration with Bin Yu at UC Berkeley and Hongkui Zeng and Bosiljka Tasic at the Allen Institute invites applications for a fully-funded postdoctoral position at the intersection of machine learning and gene expression analysis funded by the Weill Neurohub’s Next Great Idea Award. This is an opportunity to work on a high-impact interdisciplinary problem. The project aims to provide a computational framework to reveal building blocks of spatial gene expression profiles in the mouse brain. These building blocks or principal patterns will parcellate the brain into completely data-driven 3D brain areas and establish brain-area-specific local gene networks. Additionally, the project aims to leverage these analyses to better understand the patterns in the human gene expression datasets. The project involves designing and validating interpretable machine learning frameworks and statistical tools.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, computational biology, engineering, computational neuroscience, or related fields) and experience in programming and data analysis. Previous background in computational biology and neuroscience could be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support. As a part of the Weill Institute for Neuroscience, our laboratory is located on the Mission Bay campus providing access to the UCSF Neuroscience and Bioengineering communities including the Neuroscape, Kavli Institute for Fundamental Neuroscience and Baker Computational Health Science Institute.
Additional information is available at: https://abbasilab.org
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
✔️ @ApplyTime
Open PhD and visiting researcher positions at University of Victoria, Canada
Hi all,
The Deep Learning research group at the University of Victoria, CA is hiring PhD students and visiting researchers. Candidates will conduct research on topics of deep learning.
Future PhD candidates should:
Have a solid background in machine learning, ideally with published papers in top-tier conferences such as ICLR, ICML, NeurIPS, CVPR, ICCV.
Be proficient at coding, with familiarity in PyTorch, Tensorflow, or JAX.
Have strong self-motivation for research.
Visiting researcher positions are also available starting now.
For more information about the position or fund please email Cecilia Summers at ceciliasummers07@gmail.com. Please provide a CV with your application.
Best,
Cecilia
✔️ @ApplyTime
Hi all,
The Deep Learning research group at the University of Victoria, CA is hiring PhD students and visiting researchers. Candidates will conduct research on topics of deep learning.
Future PhD candidates should:
Have a solid background in machine learning, ideally with published papers in top-tier conferences such as ICLR, ICML, NeurIPS, CVPR, ICCV.
Be proficient at coding, with familiarity in PyTorch, Tensorflow, or JAX.
Have strong self-motivation for research.
Visiting researcher positions are also available starting now.
For more information about the position or fund please email Cecilia Summers at ceciliasummers07@gmail.com. Please provide a CV with your application.
Best,
Cecilia
✔️ @ApplyTime
2-year Post Doctoral Researcher in Deep Learning for Capsule Endoscopy at NTNU, Norway
We have a vacancy for a post doctoral researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
The position will focus on developing data-efficient learning method for automated pathology detection in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms. The position will also support work on automatically constructing 3D models in areas of interest for assessment by gastroenterologists
Deadline 15th of September 2021.
More information on https://www.jobbnorge.no/en/available-jobs/job/210806/post-doctoral-researcher-in-deep-learning-for-capsule-endoscopy
✔️ @ApplyTime
We have a vacancy for a post doctoral researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
The position will focus on developing data-efficient learning method for automated pathology detection in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms. The position will also support work on automatically constructing 3D models in areas of interest for assessment by gastroenterologists
Deadline 15th of September 2021.
More information on https://www.jobbnorge.no/en/available-jobs/job/210806/post-doctoral-researcher-in-deep-learning-for-capsule-endoscopy
✔️ @ApplyTime
Jobbnorge.no
Post Doctoral Researcher in Deep Learning for Capsule Endoscopy (210806) | NTNU - Norwegian University of Science and Technology
Job noscript: Post Doctoral Researcher in Deep Learning for Capsule Endoscopy (210806), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Closed
If you are interested in AI, join us on LinkedIn:
https://www.linkedin.com/groups/8861263/
#IraniansInAI
https://www.linkedin.com/groups/8861263/
#IraniansInAI
Application for Postdoctoral Research Associate
The Form Finding Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a post-doctoral or more senior research position to support research on the robotic construction of discrete element systems. The research will be conducted under the direction of Professor Sigrid Adriaenssens.
Responsibilities will include:
- Developing a computational framework that generates element geometries loaded under internal membrane or axial action, and tessellation of efficient element layouts; and that integrates robotic construction approaches;
- Overseeing day-to-day graduate and possibly undergraduate and high school student's research as it relates to project goals and meeting project milestones and go/no-go points;
- Giving and contributing to research seminars within the Department of Civil and Environmental Engineering;
- Presenting at conferences and leading journal publication efforts;
- Leading outreach effort of designing and constructing demonstrators, and developing and writing research proposals.
Minimum qualifications:
- Doctoral degree in mechanical or civil engineering, architectural engineering, physics or applied mathematics field;
- Appropriate experience in form finding and optimization methods, discrete element modeling and prototyping;
- Strong project management skills and a very good publication record.
This is a 1-year position and preferred start will be in January 2022 or earlier. Interested candidates should submit an application online at https://www.princeton.edu/acad-positions/position/21961. Applications should include a CV, a brief statement of research experience and interests, and the contact information for three references. The application deadline is November 1, 2021. Please send inquiries to sadriaen@princeton.edu. This position is subject to the University's background check policy.
Requisition No: D-22-CEE-00001
*Required information is denoted with an asterisk.
How to Apply
The form below must be completed to submit your application for this position.
It is recommended that you read through the entire application and gather the required application materials before beginning your application. You will not be able to save or return to edit a partial application. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted.
Upon submitting your application, you will receive a confirmation email at the email address that you provide in your application. In some cases, your references may be contacted using the email address that you provide for them and may be asked to provide their recommendation via a web-based form similar to the application form.
Be sure to provide the correct email addresses for you and all of your references to ensure that communications from Princeton University are properly delivered.
For more information send an email to zfjiang@princeton.edu.
https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=21961
✔️ @ApplyTime
The Form Finding Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a post-doctoral or more senior research position to support research on the robotic construction of discrete element systems. The research will be conducted under the direction of Professor Sigrid Adriaenssens.
Responsibilities will include:
- Developing a computational framework that generates element geometries loaded under internal membrane or axial action, and tessellation of efficient element layouts; and that integrates robotic construction approaches;
- Overseeing day-to-day graduate and possibly undergraduate and high school student's research as it relates to project goals and meeting project milestones and go/no-go points;
- Giving and contributing to research seminars within the Department of Civil and Environmental Engineering;
- Presenting at conferences and leading journal publication efforts;
- Leading outreach effort of designing and constructing demonstrators, and developing and writing research proposals.
Minimum qualifications:
- Doctoral degree in mechanical or civil engineering, architectural engineering, physics or applied mathematics field;
- Appropriate experience in form finding and optimization methods, discrete element modeling and prototyping;
- Strong project management skills and a very good publication record.
This is a 1-year position and preferred start will be in January 2022 or earlier. Interested candidates should submit an application online at https://www.princeton.edu/acad-positions/position/21961. Applications should include a CV, a brief statement of research experience and interests, and the contact information for three references. The application deadline is November 1, 2021. Please send inquiries to sadriaen@princeton.edu. This position is subject to the University's background check policy.
Requisition No: D-22-CEE-00001
*Required information is denoted with an asterisk.
How to Apply
The form below must be completed to submit your application for this position.
It is recommended that you read through the entire application and gather the required application materials before beginning your application. You will not be able to save or return to edit a partial application. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted.
Upon submitting your application, you will receive a confirmation email at the email address that you provide in your application. In some cases, your references may be contacted using the email address that you provide for them and may be asked to provide their recommendation via a web-based form similar to the application form.
Be sure to provide the correct email addresses for you and all of your references to ensure that communications from Princeton University are properly delivered.
For more information send an email to zfjiang@princeton.edu.
https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=21961
✔️ @ApplyTime
PhD Research Fellow(s) in Sociology | Deadline: 1 October
Job denoscription
There are 1-2 vacant research fellowships (SKO 1017) at the Department of Sociology and Human Geography. The position(s) are for a period of three years without compulsory work or four years with 25% compulsory work (primarily teaching).
The department is ranked as the premier academic research institute in sociology in Norway, conducting top international research while offering high quality education for students. The department is renowned both for the breadth of topics and methodologies employed and for its highly qualified researchers.
They seek candidates with the potential to contribute to the development of sociology as a discipline. The fellows are expected to pursue independent research under supervision, as outlined in their submitted project proposals. They value the contribution of young scholars to the academic environment and study programmes in the department, and encourage candidates with a desire to participate actively in departmental life to apply.
Applicants should have research interests within one or more of the main areas of sociological research at the department: global challenges, migration and integration, cultural and political participation, the Nordic model, family and the life course, social inequality, working life, and marginalisation.
The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidates who are hired will automatically be admitted to the PhD programme. Residence in Norway is expected, but PhD fellows are also encouraged to spend time abroad during the fellowship period.
Qualification requirements and assessment criteria
Applicants will be assessed on the quality of the project proposal, their academic grades, the quality of the master’s thesis and the applicant’s personal prerequisites to carry out the project. The hiring process will include an interview.
Applicants must have a master's degree/second-level degree in sociology or equivalent. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development of sociology at the department. Applicants from other disciplinary backgrounds who wish to apply must demonstrate in their application letter that their educational background, master’s thesis and project proposal fall within the scope of sociology.
The master’s degree must include a thesis of at least 30 ECTS. Applicants must have a minimum grade B (ECTS grading scale) or equivalent. The master's thesis must have been submitted before the application deadline. A prerequisite for taking up the position is the successful completion of a master’s degree
The applicant must provide a tentative denoscription (5-10 pages) of a PhD research project that she or he plans to carry out during the fellowship period. The project denoscription should include an explicit account of how the project relates to the abovementioned research areas. Applicants are expected to be able to complete the project during the appointment period.
Applicants must have native or near-native competence in English or a Scandinavian language.
The final hiring decision is the responsibility of the department’s board and will be based on an evaluation of the overall qualifications of the shortlisted candidates as well as the department’s needs.
They offer
Salary at pay rate 54-59, NOK 491 200 – 534 400 per annum, depending on qualifications
An academically stimulating working environment
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
Job denoscription
There are 1-2 vacant research fellowships (SKO 1017) at the Department of Sociology and Human Geography. The position(s) are for a period of three years without compulsory work or four years with 25% compulsory work (primarily teaching).
The department is ranked as the premier academic research institute in sociology in Norway, conducting top international research while offering high quality education for students. The department is renowned both for the breadth of topics and methodologies employed and for its highly qualified researchers.
They seek candidates with the potential to contribute to the development of sociology as a discipline. The fellows are expected to pursue independent research under supervision, as outlined in their submitted project proposals. They value the contribution of young scholars to the academic environment and study programmes in the department, and encourage candidates with a desire to participate actively in departmental life to apply.
Applicants should have research interests within one or more of the main areas of sociological research at the department: global challenges, migration and integration, cultural and political participation, the Nordic model, family and the life course, social inequality, working life, and marginalisation.
The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidates who are hired will automatically be admitted to the PhD programme. Residence in Norway is expected, but PhD fellows are also encouraged to spend time abroad during the fellowship period.
Qualification requirements and assessment criteria
Applicants will be assessed on the quality of the project proposal, their academic grades, the quality of the master’s thesis and the applicant’s personal prerequisites to carry out the project. The hiring process will include an interview.
Applicants must have a master's degree/second-level degree in sociology or equivalent. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development of sociology at the department. Applicants from other disciplinary backgrounds who wish to apply must demonstrate in their application letter that their educational background, master’s thesis and project proposal fall within the scope of sociology.
The master’s degree must include a thesis of at least 30 ECTS. Applicants must have a minimum grade B (ECTS grading scale) or equivalent. The master's thesis must have been submitted before the application deadline. A prerequisite for taking up the position is the successful completion of a master’s degree
The applicant must provide a tentative denoscription (5-10 pages) of a PhD research project that she or he plans to carry out during the fellowship period. The project denoscription should include an explicit account of how the project relates to the abovementioned research areas. Applicants are expected to be able to complete the project during the appointment period.
Applicants must have native or near-native competence in English or a Scandinavian language.
The final hiring decision is the responsibility of the department’s board and will be based on an evaluation of the overall qualifications of the shortlisted candidates as well as the department’s needs.
They offer
Salary at pay rate 54-59, NOK 491 200 – 534 400 per annum, depending on qualifications
An academically stimulating working environment
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
A letter of application
A project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and time-line. If the project requires field work/data collection, costs must be calculated and presented in a tentative budget
CV with full summary of education, practice and academic work (including possible publications). The period of enrolment (admission-completion) in the master's study programme must be specified
Academic trannoscripts (university degrees only)
Copy of master's degree diploma
Master's thesis. Please note that your thesis must be uploaded and registered as an "Attachment" in the electronic application
Foreign applicants are advised to attach an explanation of their University's grading system. This may be uploaded as an “Attachment”
Documents should be uploaded in the order presented above. Please submit documents individually and name them accordingly, e.g. Letter of application, Project proposal, CV, etc. Please do NOT submit them as a single, combined file.
More information here.
✔️ @ApplyTime
A letter of application
A project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and time-line. If the project requires field work/data collection, costs must be calculated and presented in a tentative budget
CV with full summary of education, practice and academic work (including possible publications). The period of enrolment (admission-completion) in the master's study programme must be specified
Academic trannoscripts (university degrees only)
Copy of master's degree diploma
Master's thesis. Please note that your thesis must be uploaded and registered as an "Attachment" in the electronic application
Foreign applicants are advised to attach an explanation of their University's grading system. This may be uploaded as an “Attachment”
Documents should be uploaded in the order presented above. Please submit documents individually and name them accordingly, e.g. Letter of application, Project proposal, CV, etc. Please do NOT submit them as a single, combined file.
More information here.
✔️ @ApplyTime
Jobbnorge.no
PhD Research Fellow(s) in Sociology (209515) | University of Oslo
Job noscript: PhD Research Fellow(s) in Sociology (209515), Employer: University of Oslo, Deadline: Closed
Post-Doctoral position in computational onco-immunologygy
Introduction
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
Presentation
We are looking for highly motivated post-doc to join our group.
Job information
Expected start date in position : 01.11.2021, flexible.
Contract length : 1 year (renewable twice for two years).
Activity rate : 100%
Workplace : Agora (CHUV campus, Lausanne)
Your responsibilities
Single-cell genomics technologies are revolutionizing our understanding of the heterogeneity of biological samples such as tumors. This technology enables researchers to phenotypically characterize hundreds of thousands of cells in terms of gene expression, genetic alterations, chromatin accessibility or TCR/BCR rearrangements for T/B cells. However, the increasingly large number of cells that are being studied creates new challenges for data analysis, visualization and interpretation. The successful candidate will have the opportunity to develop new algorithms to improve analysis of single-cell genomics data from tumors. These include (but are not restricted to) new developments in the recently introduced ‘super-cell’ concept applied to cancer and immune cells (Bilous et al, BioRxiv 2021).
Together with several experimental collaborators, we are located in the new Agora building, which crystallizes efforts in translational cancer research at UNIL, EPFL and CHUV (https://www.chuv.ch/fr/oncologie/onc-home/le-departement/swiss-cancer-center-leman-sccl/agora). In addition, Lausanne offers one of the best translational research environments in the field of cancer immunotherapy with several world-renowned Institutes (Ludwig Institute for Cancer research, ISREC) and cutting-edge computational infrastructures (SIB).
Your qualifications
PhD in Computational Biology, Math, Physics or Computer science with demonstrated experience in Bioinformatics and at least one first-author research paper in a peer-reviewed journal. Experience with gene expression analysis and machine learning algorithms in computational immunology is a plus.
All candidates should have a strong interest in computational biology applied to cancer and immunology-related research and excellent collaborative skills with experimental biologists. Good knowledge in algorithmic developments and programming, as well as the ability to work in English (oral + written) are required.
What the position offers you
We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.
Contact for further information
Send your full application including motivation letter, CV, list of publications and the name of 2 or 3 references to: david.gfeller@unil.ch. Interviews are expected to take place in Fall 2021.
Web pages: http://unil.ch/dof/gfeller, https://gfellerlab.org/
Your application
Deadline : 25.08.2021
Please, send your full application in Word or PDF.
Only applications through this website will be taken into account.
We thank you for your understanding.
Additional information
UNIL is committed to equal opportunities and diversity.
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus
✔️ @ApplyTime
Introduction
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
Presentation
We are looking for highly motivated post-doc to join our group.
Job information
Expected start date in position : 01.11.2021, flexible.
Contract length : 1 year (renewable twice for two years).
Activity rate : 100%
Workplace : Agora (CHUV campus, Lausanne)
Your responsibilities
Single-cell genomics technologies are revolutionizing our understanding of the heterogeneity of biological samples such as tumors. This technology enables researchers to phenotypically characterize hundreds of thousands of cells in terms of gene expression, genetic alterations, chromatin accessibility or TCR/BCR rearrangements for T/B cells. However, the increasingly large number of cells that are being studied creates new challenges for data analysis, visualization and interpretation. The successful candidate will have the opportunity to develop new algorithms to improve analysis of single-cell genomics data from tumors. These include (but are not restricted to) new developments in the recently introduced ‘super-cell’ concept applied to cancer and immune cells (Bilous et al, BioRxiv 2021).
Together with several experimental collaborators, we are located in the new Agora building, which crystallizes efforts in translational cancer research at UNIL, EPFL and CHUV (https://www.chuv.ch/fr/oncologie/onc-home/le-departement/swiss-cancer-center-leman-sccl/agora). In addition, Lausanne offers one of the best translational research environments in the field of cancer immunotherapy with several world-renowned Institutes (Ludwig Institute for Cancer research, ISREC) and cutting-edge computational infrastructures (SIB).
Your qualifications
PhD in Computational Biology, Math, Physics or Computer science with demonstrated experience in Bioinformatics and at least one first-author research paper in a peer-reviewed journal. Experience with gene expression analysis and machine learning algorithms in computational immunology is a plus.
All candidates should have a strong interest in computational biology applied to cancer and immunology-related research and excellent collaborative skills with experimental biologists. Good knowledge in algorithmic developments and programming, as well as the ability to work in English (oral + written) are required.
What the position offers you
We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.
Contact for further information
Send your full application including motivation letter, CV, list of publications and the name of 2 or 3 references to: david.gfeller@unil.ch. Interviews are expected to take place in Fall 2021.
Web pages: http://unil.ch/dof/gfeller, https://gfellerlab.org/
Your application
Deadline : 25.08.2021
Please, send your full application in Word or PDF.
Only applications through this website will be taken into account.
We thank you for your understanding.
Additional information
UNIL is committed to equal opportunities and diversity.
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus
✔️ @ApplyTime
www.unil.ch
Computational cancer biology
Page Gfeller of site Department of Oncology hosted by the University of Lausanne
Dear Colleagues,
Please find below the advertisement for a postdoc position at MIT on low-energy autonomy and navigation.
Overview
The Low-Energy Autonomy and Navigation (LEAN) is an interdisciplinary research group at the Massachusetts Institute of Technology (MIT), focusing on the co-design of algorithms and hardware for next-generation low-energy autonomous vehicles. These vehicles include the miniature robots, such as insect-size flyers, water striders, and chip-size satellites, as well as high-endurance vehicles that can operate months or years at a time, such as autonomous blimps, underwater gliders, soft robots, and printable robots. Autonomy capabilities for these vehicles will be unlocked by building their computers from the ground up, by co-designing the algorithms and hardware for autonomy and navigation.
The LEAN research group has developed methods, algorithms and computing hardware for visual-inertial navigation, motion planning, mutual-information-based exploration, depth estimation, robot perception, and others. The research team is co-directed and co-advised by Professors Sertac Karaman<https://urldefense.com/v3/__http://karaman.mit.edu/__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bXcRNix9$ > and Vivienne Sze<https://urldefense.com/v3/__http://sze.mit.edu__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bRoxRGZ2$ >.
For a complete overview on the project and list of related publications, please check our group website https://urldefense.com/v3/__https://lean.mit.edu/__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bVAfkdgH$
This position is open to candidates with any background on robotics. However, priority will be given to candidates with strong backgrounds in robot perception and/or robot learning. Strong experience in experimenting with and fielding robotic systems is a plus.
Profile and Responsibilities
A successful candidate has obtained, or is about to obtain, a PhD degree in engineering, computer science or a related field. A strong background and interest in robotics is required.
In your motivation letter or extended CV denoscription, please mention your previous experiences and skills, which may help to make relevant contributions to the project.
The selected candidate is furthermore expected to:
* have a very good knowledge of English (spoken and written)
*
be able to work independently, accurately and methodically
*
be able to work in a team, mentor graduate and undergraduate students
*
co-author publications in conference proceedings and archival journals
*
present research findings at national and international conferences
Application
Process: Please use email your application to lean-apply@mit.edu<mailto:lean-apply@mit.edu> with the following:
* An academic CV, including a list of publications,
*
A digital copy of undergraduate and graduate school trannoscripts,
*
statement of research interests and career goals (max. 1 page),
*
contact details of at least two referees.
Timeline: The position will be filled within the Fall semester of 2021. Candidates who are interested in starting later are still encouraged to apply. For more information please contact Prof. Sertac Karaman and Vivienne Sze mail: lean-apply@mit.edu<mailto:lean-apply@mit.edu>
Equal opportunity: MIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, skin color, gender identity, sexual orientation, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT?s full policy on nondiscrimination can be found here<https://urldefense.com/v3/__https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bfSeO7m1$ >.
Best regards
Sertac Karaman & Vivienne Sze
✔️ @ApplyTime
Please find below the advertisement for a postdoc position at MIT on low-energy autonomy and navigation.
Overview
The Low-Energy Autonomy and Navigation (LEAN) is an interdisciplinary research group at the Massachusetts Institute of Technology (MIT), focusing on the co-design of algorithms and hardware for next-generation low-energy autonomous vehicles. These vehicles include the miniature robots, such as insect-size flyers, water striders, and chip-size satellites, as well as high-endurance vehicles that can operate months or years at a time, such as autonomous blimps, underwater gliders, soft robots, and printable robots. Autonomy capabilities for these vehicles will be unlocked by building their computers from the ground up, by co-designing the algorithms and hardware for autonomy and navigation.
The LEAN research group has developed methods, algorithms and computing hardware for visual-inertial navigation, motion planning, mutual-information-based exploration, depth estimation, robot perception, and others. The research team is co-directed and co-advised by Professors Sertac Karaman<https://urldefense.com/v3/__http://karaman.mit.edu/__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bXcRNix9$ > and Vivienne Sze<https://urldefense.com/v3/__http://sze.mit.edu__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bRoxRGZ2$ >.
For a complete overview on the project and list of related publications, please check our group website https://urldefense.com/v3/__https://lean.mit.edu/__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bVAfkdgH$
This position is open to candidates with any background on robotics. However, priority will be given to candidates with strong backgrounds in robot perception and/or robot learning. Strong experience in experimenting with and fielding robotic systems is a plus.
Profile and Responsibilities
A successful candidate has obtained, or is about to obtain, a PhD degree in engineering, computer science or a related field. A strong background and interest in robotics is required.
In your motivation letter or extended CV denoscription, please mention your previous experiences and skills, which may help to make relevant contributions to the project.
The selected candidate is furthermore expected to:
* have a very good knowledge of English (spoken and written)
*
be able to work independently, accurately and methodically
*
be able to work in a team, mentor graduate and undergraduate students
*
co-author publications in conference proceedings and archival journals
*
present research findings at national and international conferences
Application
Process: Please use email your application to lean-apply@mit.edu<mailto:lean-apply@mit.edu> with the following:
* An academic CV, including a list of publications,
*
A digital copy of undergraduate and graduate school trannoscripts,
*
statement of research interests and career goals (max. 1 page),
*
contact details of at least two referees.
Timeline: The position will be filled within the Fall semester of 2021. Candidates who are interested in starting later are still encouraged to apply. For more information please contact Prof. Sertac Karaman and Vivienne Sze mail: lean-apply@mit.edu<mailto:lean-apply@mit.edu>
Equal opportunity: MIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, skin color, gender identity, sexual orientation, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT?s full policy on nondiscrimination can be found here<https://urldefense.com/v3/__https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination__;!!LIr3w8kk_Xxm!5Vkqff3ocEoF6EhsQQ0o5nx8aJJd0OFpXkgvc-tNOYPTwC6nk1hoQSvtmlJd9nx7bfSeO7m1$ >.
Best regards
Sertac Karaman & Vivienne Sze
✔️ @ApplyTime
Job opening: Two Doctoral Research position
Location: Tampere, Finland
Keywords: Robot learning, perception, optimal control, field robotics
The Autonomous Mobile Machine Group focuses on solutions for future self-operating mobile working machines and robots (such as forest machines, excavators, forklifts, wheel loaders). We aim at algorithmic innovations, from theory to practice using real-world robot systems. The group research topics include situational awareness, autonomous navigation, and robot learning in challenging environments and uneven terrain; optimal power transmission and motion control for reduced energy consumption and obstacle avoidance for heady duty manipulators; material handling with integrated sensing and control; software development and safety for autonomous mobile working machines.
The group has strong network in the industry, and we seek to solve demanding scientific problems that do arise from realistic environments and use cases. The group research is funded by European Commission, Academy of Finland, Business Finland, direct industrial contracts, and internal funds. We have well equipped and well-funded labs https://urldefense.com/v3/__https://research.tuni.fi/iha/__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHXGZWiRM$ and dynamic community, and large group of doctoral students and research assistants.
Please apply through the link below. Detailed job denoscription and other info are found in the same link.
If you have any questions, please do not hesitate to contact us.
Doctoral Researcher (Robot learning for perception and control), 1-2 positions / v?it?skirjatutkija (koneoppiminen, robotiikka), 1-2 teht?v?? (rekrytointi.com)<https://urldefense.com/v3/__https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=3&jid=1113__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHclem3kh$ >
Reza Ghabcheloo (TAU)
Head the Autonomous Mobile Machines group
https://urldefense.com/v3/__https://www.tuni.fi/en/reza-ghabcheloo__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHUV3pC4i$
✔️ @ApplyTime
Location: Tampere, Finland
Keywords: Robot learning, perception, optimal control, field robotics
The Autonomous Mobile Machine Group focuses on solutions for future self-operating mobile working machines and robots (such as forest machines, excavators, forklifts, wheel loaders). We aim at algorithmic innovations, from theory to practice using real-world robot systems. The group research topics include situational awareness, autonomous navigation, and robot learning in challenging environments and uneven terrain; optimal power transmission and motion control for reduced energy consumption and obstacle avoidance for heady duty manipulators; material handling with integrated sensing and control; software development and safety for autonomous mobile working machines.
The group has strong network in the industry, and we seek to solve demanding scientific problems that do arise from realistic environments and use cases. The group research is funded by European Commission, Academy of Finland, Business Finland, direct industrial contracts, and internal funds. We have well equipped and well-funded labs https://urldefense.com/v3/__https://research.tuni.fi/iha/__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHXGZWiRM$ and dynamic community, and large group of doctoral students and research assistants.
Please apply through the link below. Detailed job denoscription and other info are found in the same link.
If you have any questions, please do not hesitate to contact us.
Doctoral Researcher (Robot learning for perception and control), 1-2 positions / v?it?skirjatutkija (koneoppiminen, robotiikka), 1-2 teht?v?? (rekrytointi.com)<https://urldefense.com/v3/__https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=3&jid=1113__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHclem3kh$ >
Reza Ghabcheloo (TAU)
Head the Autonomous Mobile Machines group
https://urldefense.com/v3/__https://www.tuni.fi/en/reza-ghabcheloo__;!!LIr3w8kk_Xxm!7msPgHj4qPBEvBHS7cp8rIrhCGOTe3RHw9PBPIYvQech_m-K7Xw7p0Aam5aCflAMHUV3pC4i$
✔️ @ApplyTime
IHA – Innovative Hydraulics and Automation
IHA – Innovative Hydraulics and Automation | Tampere Universities
Innovative Hydraulics and Automation (IHA) is doing interdisciplinary research in the field of Fluid power automation, by the bridging of theory and practice with cooperation with industry.
4-year PhD position @KU
Leuven(Belgium) in " Design of robotic catheter and endoscopic systems
for cancer treatment" (Emmanuel Vander Poorten)
The successful applicant will become part of the Robot Assisted Surgery
(RAS) group (https://urldefense.com/v3/__http://www.mech.kuleuven.be/en/pma/research/ras__;!!LIr3w8kk_Xxm!8CHWWTKWuGJi-SpF46Adcnlww-rhDtDHR8X_xQGMOT-SFC0f-8WAQzM2WMbMW1EUs3Osy0O5$ ) belonging to
the department of Mechanical Engineering. This is a growing, dynamic and
multi-disciplinary research group that is heavily involved in international
research and collaboration through various EU or bilateral projects.
Recently, RAS has expanded its activity in development of flexible robotic
technology and robotic catheterization. Apart from a unique research
infrastructure, the RAS group maintains also tight and multiple
collaborations with UZ Leuven, the largest (university) hospital in Belgium,
which is located at 10 minutes ride (bicycle) of the department. The group
consists of members of faculty of engineering science and engineering
technology striving to develop advanced medical devices and translate those
to the hospital where clinical validation should/could take place.
Website unit
Project
Recent efforts in robotics and automation research have fostered the
development of a wide variety of the miniature continuum robots which can
access confined spaces and, thanks to their compliance, follow complex
trajectories exchanging limited forces with the surroundings. These
properties explain the appeal of these robots in surgical applications and
minimal invasive surgery in particular, where critical tasks are to be
executed within the delicate and complex environment of the human body. In
cancer treatment, there is a huge potential for smart robotic catheters.
Equipped with force and shape sensing capability, advanced force control and
smart catheter steering is feasible. Building upon earlier expertise in
miniaturization, sensing and control, driving miniature dedicated catheters
in difficult-to-reach anatomic areas becomes feasible. The areas that are
targeted in this project are even harder to reach urging further
improvements in terms of miniaturization. Within this project the PhD
candidate will closely collaborate with colleagues from micro- and precision
manufacturing who acquired needed equipment to further scale down steerable
systems.
By looking at new mechanisms for actuation, sensing and control,this PhD
will design and develop novel robotic endoscopic ultrasound and catheter
systems. Building on earlier work, advanced sensing and estimation
techniques will be elaborated to obtain an improved understanding of and
control over the robot?s pose and contact state within its surroundings. The
conducted research fits in an multi-disciplinary project lead by RAS, but
involving also drug manufacturers (researchers) and clinicians. A close
collaboration with both parties is envisioned and essential for success.
Profile
* Candidates must hold an engineering diplomathat gives access to the KU
Leuven Arenberg Doctoral School PhD program (MScdegree obtained ?cum laude?
or equivalent).
* We are seeking a highly motivated andgoal-oriented candidate with a strong
background in mechanicaldesign, mechatronics, biomedical engineering and/or
robotics.
* Experience in mechanical design, manufacturing, FEM,programming (C, C++,
python and ROS1/2) is advantageous.
* Good problem solve skills is definitely a bonus
* Candidates must be fluent in English.
* The candidate must be a team player.
Offer
The Department of Mechanical Engineering at the University of Leuven (KU
Leuven), Belgium is pleased to offer a fully funded PhD scholarship to
design and develop advanced robotic endoscopic ultrasound and catheters for
minimal invasive surgical applications. The successful applicant will
receive a 1 year PhD scholarship which can be extended to 4years after
successful evaluation at year 1.
Interested?
For more information please contact Prof. dr. ir. Emmanuel Vander Poorten,
Leuven(Belgium) in " Design of robotic catheter and endoscopic systems
for cancer treatment" (Emmanuel Vander Poorten)
The successful applicant will become part of the Robot Assisted Surgery
(RAS) group (https://urldefense.com/v3/__http://www.mech.kuleuven.be/en/pma/research/ras__;!!LIr3w8kk_Xxm!8CHWWTKWuGJi-SpF46Adcnlww-rhDtDHR8X_xQGMOT-SFC0f-8WAQzM2WMbMW1EUs3Osy0O5$ ) belonging to
the department of Mechanical Engineering. This is a growing, dynamic and
multi-disciplinary research group that is heavily involved in international
research and collaboration through various EU or bilateral projects.
Recently, RAS has expanded its activity in development of flexible robotic
technology and robotic catheterization. Apart from a unique research
infrastructure, the RAS group maintains also tight and multiple
collaborations with UZ Leuven, the largest (university) hospital in Belgium,
which is located at 10 minutes ride (bicycle) of the department. The group
consists of members of faculty of engineering science and engineering
technology striving to develop advanced medical devices and translate those
to the hospital where clinical validation should/could take place.
Website unit
Project
Recent efforts in robotics and automation research have fostered the
development of a wide variety of the miniature continuum robots which can
access confined spaces and, thanks to their compliance, follow complex
trajectories exchanging limited forces with the surroundings. These
properties explain the appeal of these robots in surgical applications and
minimal invasive surgery in particular, where critical tasks are to be
executed within the delicate and complex environment of the human body. In
cancer treatment, there is a huge potential for smart robotic catheters.
Equipped with force and shape sensing capability, advanced force control and
smart catheter steering is feasible. Building upon earlier expertise in
miniaturization, sensing and control, driving miniature dedicated catheters
in difficult-to-reach anatomic areas becomes feasible. The areas that are
targeted in this project are even harder to reach urging further
improvements in terms of miniaturization. Within this project the PhD
candidate will closely collaborate with colleagues from micro- and precision
manufacturing who acquired needed equipment to further scale down steerable
systems.
By looking at new mechanisms for actuation, sensing and control,this PhD
will design and develop novel robotic endoscopic ultrasound and catheter
systems. Building on earlier work, advanced sensing and estimation
techniques will be elaborated to obtain an improved understanding of and
control over the robot?s pose and contact state within its surroundings. The
conducted research fits in an multi-disciplinary project lead by RAS, but
involving also drug manufacturers (researchers) and clinicians. A close
collaboration with both parties is envisioned and essential for success.
Profile
* Candidates must hold an engineering diplomathat gives access to the KU
Leuven Arenberg Doctoral School PhD program (MScdegree obtained ?cum laude?
or equivalent).
* We are seeking a highly motivated andgoal-oriented candidate with a strong
background in mechanicaldesign, mechatronics, biomedical engineering and/or
robotics.
* Experience in mechanical design, manufacturing, FEM,programming (C, C++,
python and ROS1/2) is advantageous.
* Good problem solve skills is definitely a bonus
* Candidates must be fluent in English.
* The candidate must be a team player.
Offer
The Department of Mechanical Engineering at the University of Leuven (KU
Leuven), Belgium is pleased to offer a fully funded PhD scholarship to
design and develop advanced robotic endoscopic ultrasound and catheters for
minimal invasive surgical applications. The successful applicant will
receive a 1 year PhD scholarship which can be extended to 4years after
successful evaluation at year 1.
Interested?
For more information please contact Prof. dr. ir. Emmanuel Vander Poorten,
www.mech.kuleuven.be
Robot-Assisted Surgery Group
The Robot Assisted Surgery or RAS-group of the Department of Mechanical Engineering, founded by Prof. H. Van Brussel, is currently headed by Prof. E. Vander Poorten and supported by professors Dominiek Reynaerts (micro- and precision engineering), professor…
tel.: +32 16 32 25 28, mail: emmanuel.vanderpoorten@kuleuven.be or Dr. Kenan
Niu, tel.: +32 16 19 39 96, mail: kenan.niu@kuleuven.be.
You can apply for this job no later than October 29, 2021 via the online
application tool
(https://urldefense.com/v3/__https://webwsp.aps.kuleuven.be/esap/public/ui5_ui5/sap/zh_erc_esol_go/index__;!!LIr3w8kk_Xxm!8CHWWTKWuGJi-SpF46Adcnlww-rhDtDHR8X_xQGMOT-SFC0f-8WAQzM2WMbMW1EUs3EOhVAB$
.html?sap-ui-language=EN&vacaturenummer=60047435&toepassing=LGH)
KU Leuven seeks to foster an environment where all talents can flourish,
regardless of gender, age, cultural background, nationality or impairments.
If you have any questions relating to accessibility or support, please
contact us at diversiteit.HR@kuleuven.be
Best wishes,
Dr. Kenan Niu
Robot-Assisted Surgery Group
Department of Mechanical Engineering, KU Leuven Celestijnenlaan 300
✔️ @ApplyTime
Niu, tel.: +32 16 19 39 96, mail: kenan.niu@kuleuven.be.
You can apply for this job no later than October 29, 2021 via the online
application tool
(https://urldefense.com/v3/__https://webwsp.aps.kuleuven.be/esap/public/ui5_ui5/sap/zh_erc_esol_go/index__;!!LIr3w8kk_Xxm!8CHWWTKWuGJi-SpF46Adcnlww-rhDtDHR8X_xQGMOT-SFC0f-8WAQzM2WMbMW1EUs3EOhVAB$
.html?sap-ui-language=EN&vacaturenummer=60047435&toepassing=LGH)
KU Leuven seeks to foster an environment where all talents can flourish,
regardless of gender, age, cultural background, nationality or impairments.
If you have any questions relating to accessibility or support, please
contact us at diversiteit.HR@kuleuven.be
Best wishes,
Dr. Kenan Niu
Robot-Assisted Surgery Group
Department of Mechanical Engineering, KU Leuven Celestijnenlaan 300
✔️ @ApplyTime
Fully funded full-time Ph.D.
positions in Spring 2022 or Fall 2022 at Vanderbilt University
*Denoscription of the position:*
Dong Lab at Vanderbilt University is looking for self-motivated students
who want to pursue a Ph.D. degree, in the area of robotics. The candidate
will be supported with full tuition and stipends.
*Preferred qualifications:*
1. Required knowledge and skills (two or more) 1) Computational
mechanics 2) Microfabrication 3) Flexible electronics 4) Smart materials
5) Control and mechatronics
2. Required education background: The candidate should have a B.S.
degree or M.S. degree in Mechanical Engineering, Electrical Engineering,
Materials Science and Engineering, or Biomedical Engineering.
3. International students should meet the English proficiency requirement
<https://urldefense.com/v3/__https://gradschool.vanderbilt.edu/admissions/application/english.php__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXuuUcMKf$ >.
*How to apply:*
*Link to the application portal*:
https://urldefense.com/v3/__https://engineering.vanderbilt.edu/me/graduates/index.php__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXqoCy2Eg$ .
*Deadlines*: *Oct. 15th, 2021* for Spring 2022 admission, *Jan. 1st, 2022* for
Fall 2022 admission.
*Contact details:*
Interested applicants should send 1) Cover Letter, 2) resume/CV, 3) unofficial
trannoscript, 4) English test score (international students) and 5)
representative
papers (if any) in a single PDF to Dr. Xiaoguang Dong via email
xiaoguang.dong@vanderbilt.edu. Please also visit our website
<https://urldefense.com/v3/__https://xgdongcmu.github.io/__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXmgOtXxU$ > for more details.
*About the Dong Lab:*
Dr. Xiaoguang Dong will join the Department of Mechanical Engineering,
at Vanderbilt
University <https://urldefense.com/v3/__https://www.vanderbilt.edu/__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXtCZU49g$ >, Nashville, TN, US in January 2022
as an Assistant Professor. The research of Dong Lab will focus on three
aspects: 1) The design, manufacture and control of miniature soft robots,
and their applications in minimally invasive medicine, microfluidics and
biomechanics. 2) The design, manufacture and control of miniature swarm
robots, and their applications in biomedicine and biomechanics. 3) The
modeling, design, manufacture and control of intelligent soft materials and
devices based on mechanics models and machine learning.
Best,
Xiaoguang Dong
---
Xiaoguang Dong, PhD
Assistant Professor (from Jan. 2022),
Department of Mechanical Engineering, Vanderbilt University, TN, US;
Email: xiaoguad@alumni.cmu.edu; xiaoguang.dong@vanderbilt.edu
✔️ @ApplyTime
positions in Spring 2022 or Fall 2022 at Vanderbilt University
*Denoscription of the position:*
Dong Lab at Vanderbilt University is looking for self-motivated students
who want to pursue a Ph.D. degree, in the area of robotics. The candidate
will be supported with full tuition and stipends.
*Preferred qualifications:*
1. Required knowledge and skills (two or more) 1) Computational
mechanics 2) Microfabrication 3) Flexible electronics 4) Smart materials
5) Control and mechatronics
2. Required education background: The candidate should have a B.S.
degree or M.S. degree in Mechanical Engineering, Electrical Engineering,
Materials Science and Engineering, or Biomedical Engineering.
3. International students should meet the English proficiency requirement
<https://urldefense.com/v3/__https://gradschool.vanderbilt.edu/admissions/application/english.php__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXuuUcMKf$ >.
*How to apply:*
*Link to the application portal*:
https://urldefense.com/v3/__https://engineering.vanderbilt.edu/me/graduates/index.php__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXqoCy2Eg$ .
*Deadlines*: *Oct. 15th, 2021* for Spring 2022 admission, *Jan. 1st, 2022* for
Fall 2022 admission.
*Contact details:*
Interested applicants should send 1) Cover Letter, 2) resume/CV, 3) unofficial
trannoscript, 4) English test score (international students) and 5)
representative
papers (if any) in a single PDF to Dr. Xiaoguang Dong via email
xiaoguang.dong@vanderbilt.edu. Please also visit our website
<https://urldefense.com/v3/__https://xgdongcmu.github.io/__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXmgOtXxU$ > for more details.
*About the Dong Lab:*
Dr. Xiaoguang Dong will join the Department of Mechanical Engineering,
at Vanderbilt
University <https://urldefense.com/v3/__https://www.vanderbilt.edu/__;!!LIr3w8kk_Xxm!99nEVVvAQ9xYolw91G3kZ5zDPRts6GvnkpGZ1BBhiejRmuM6XvmE9NGu-x7-JfriXtCZU49g$ >, Nashville, TN, US in January 2022
as an Assistant Professor. The research of Dong Lab will focus on three
aspects: 1) The design, manufacture and control of miniature soft robots,
and their applications in minimally invasive medicine, microfluidics and
biomechanics. 2) The design, manufacture and control of miniature swarm
robots, and their applications in biomedicine and biomechanics. 3) The
modeling, design, manufacture and control of intelligent soft materials and
devices based on mechanics models and machine learning.
Best,
Xiaoguang Dong
---
Xiaoguang Dong, PhD
Assistant Professor (from Jan. 2022),
Department of Mechanical Engineering, Vanderbilt University, TN, US;
Email: xiaoguad@alumni.cmu.edu; xiaoguang.dong@vanderbilt.edu
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