Postdoc in Machine Learning for Metallo-Protein Biophysics

We are looking for a postdoctoral researcher to work on machine learning driven metallo-protein biophysics. You will develop new methods to detect metal-binding sites in proteins and to predict impact of protein variation on metal-binding in proteins. The developed methods will feed directly into on-going research on roles of metallo-proteins in human health and disease in the protein-biophysics group and complement on-going research activities in the Artificial Intelligence and Machine Learning for the Natural Sciences (AIMLeNS) group. The research takes place at Chalmers University of Technology and is a collaboration between PI:s in two departments.

Information about the research
Machine learning provides new exciting opportunities in the natural sciences such as physics, chemistry and biology. Its potential application areas span from designing new drugs against multi-resistant pathogens and understanding the impact of gene defects on a protein's function to speeding up computer simulations to understand fundamental scientific phenomena and design optimal algorithms for near-term quantum computers. The path towards these applications can leverage the power of deep learning to represent and process high-dimensional data in an effective manner and encode natural laws and symmetries.

The AIMLeNS group (head: Simon Olsson) at the Department of Computer Science and Engineering is an interdisciplinary group focusing on problems in the natural sciences and the development of machine learning and AI systems towards these problems. In collaboration with the protein biophysics group (head: Pernilla Wittung-Stafshede) at the Department of Biology and Biological Engineering, we are recruiting a postdoctoral researcher to mainly be placed in the AIMLeNS group. 

Major responsibilities
Your major responsibility as postdoc is to lead research projects in collaboration with the project PIs. You 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 doctoral degree in science, technology, engineering, mathematics or an equivalent degree with machine learning experience. It is meritorious to have prior research experience within protein-bioinformatics, natural language processing, and/or protein biophysics. The position requires sound verbal and written communication skills in English, excellent time management, and an aptitude for project leadership. Due to the interdisciplinary shape of this project, we are looking for a person that enjoys solving complex problems in collaboration with others.

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 20220034 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

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.

Learn more and apply on Chalmers website: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10182&rmlang=UK

Application deadline: 25 February, 2022. 

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!