Postdoc position in Machine Learning
Chalmers Tekniska Högskola AB / Högskolejobb / Göteborg
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hela Sverige Visa alla jobb hos Chalmers Tekniska Högskola AB i Göteborg Information about the division and the department
The Department of Computer Science and Engineering (CSE) is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on both campuses. Around 240 staff and approximately 125 Ph.D. students from more than 30 countries comprise the department. Our research spans from theoretical computer science to applied systems development. We provide high-quality education at Bachelor's, Master's, and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry, and society.
The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its applications.
About the research
This position is part of a joint collaboration between the two of the largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: htps://wasp-sweden.org/
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data- driven research, within fields essential for improving the people 's lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: htps://www.scilifelab.se/data-driven
The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data- Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly motivated postdoc to join our collaborative project on multiscale simulations & machine-learning (ML) applied to membrane protein function. The candidate will work in the AIMLeNS (
https://www.cse.chalmers.se/~simonols/) lab lead by Simon Olsson (Chalmers), and the project will be carried out in close collaboration with the lab of Prof. Dr. Kaila at Stockholm University. The project combines ML approaches with computational, biochemical, biophysical, and structural data, with aims to provide a basis for understanding how proteins power the energy metabolism of our cells, the evolution that led to the emergence of these intricate biological complexes, and how disease related mutations alter the protein function.
Major responsibilities
As a Postdoctoral researcher your main responsibility is to lead research projects in collaboration with the project PIs. The selected candidate will also have the opportunity to mentor and co-supervise junior researchers.
The research entails developing and implementing scientific ideas, establishing research collaborations, communicating your results orally or in written form via scientific venues, including in journals and at conferences.
Qualifications
To qualify as a postdoctoral researcher, you must hold a Ph.D., doctorate, or equivalent degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers).. The position requires excellent verbal and written communication skills in English, excellent time management, and an aptitude for project leadership. Swedish is not a requirement but Chalmers offers Swedish courses.
Contract terms
This postdoc position is a full-time temporary employment for two years.
We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.
Application procedure
The application should be marked with Ref 20230628 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus
Other documents:
• Attested copies of completed education, grades and other certificates.
Use the button at the foot of the page to reach the application form.
Application deadline: 2024-04-22
For questions, please contact:
Simon Olsson,
simonols@chalmers.se Ersättning Lön enligt överenskommelse
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Arbetsgivare Chalmers Tekniska Högskola AB (org.nr 556479-5598)
Jobbnummer 8560351
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