Postdoc in AI and machine learning, Neural network properties

We are looking for a motivated, independent post-doctoral researcher in AI and machine learning eager to work on the development of new methodologies and theory centered on the generalization properties of neural networks, specifically in the context of transfer learning. You would join a collaborative network at Chalmers with researchers in statistics and machine learning (Prof. Rebecka Jörnsten), mathematical statistics (Prof. Johan Jonasson), information theory (Prof. Giuseppe Durisi) and automatic control (Prof. Balazs Kulscar).

Information about the research project
As a post-doctoral researcher you will join Rebecka Jörnsten’s research group at the Division of Applied Mathematics and Statistics. The research group comprises of 4 PhD students. This position is one of 3 post-doctoral openings in the group. The research group is focused on network modeling, data integration and regularization techniques in high-dimensional statistical modeling and neural networks. In addition to the collaborative network identified above, we also collaborate with several research groups in cancer genomics and bioinformatics.

At Chalmers, you will be part of a large network of junior and senior faculty doing research in AI and machine learning. This position is funded through the Chalmers AI research center (CHAIR) which runs seminar series, theme semesters and connects researchers in academia and industry.

Major responsibilities
The post-doctoral position offers an opportunity to further develop your research profile. The majority of your working time is devoted to your own research. As a post-doctoral researcher, you are expected to work independently and to be able to supervise/co-supervise Master’s and Ph.D. students. The teaching of undergraduate students may also be included to a small extent. The position is meritorious for future research duties within academia as well as industry/the public sector.

Contract terms
Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications
To qualify for this postdoc position, you must have a doctoral degree in a relevant field; statistics, mathematics, data science, or computational sciences. Previous experience with machine learning and/or artificial intelligence is meritorious. You should also be experienced in programming (Python/R or equivalent languages). 

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

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 20210591 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

Learn more and apply on Chalmers website: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10069&rmlang=UK

Application deadline: 6 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!