Postdoc in AI and Machine Learning

Information about the department and the project 
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 170 employees and is the largest department of mathematics in Sweden. The department conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We are located in a modern building at the center of the Chalmers Johanneberg campus. More information about us can be found on our website http://www.chalmers.se/math/.

We are looking for a motivated, independent postdoctoral 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. Balázs Kulcsár).

The post-doctoral researcher would join Rebecka Jörnsten’s research group at the Division of Applied Mathematics and Statistics (http://www.math.chalmers.se/~jornsten/). The research group comprises 4 PhD students and 2 postdoctoral researchers. 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 would 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 postdoctoral position offers an opportunity to further develop your research profile. The majority of your working time is devoted to your own research. As a postdoctoral researcher, you are expected to work independently and to be able to supervise/co-supervise Master’s and PhD students. The teaching of undergraduate students may also be included to a small extent.

Qualifications
To qualify for the position of postdoc, you must hold a doctoral degree in a relevant area, such as statistics, mathematics, data science, or computational sciences. The degree must be awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Previous experience with machine learning and/or artificial intelligence is meritorious. The applicant should also be experienced in programming (Python/R or equivalent languages). Strong communicative skills and fluency in written and spoken English are a requirement.

Swedish is not a requirement but Chalmers offers Swedish courses.

Contract terms
This postdoc position is a full-time temporary employment for two years. The starting date for the position is as soon as possible and the successful candidate is expected to start in Fall 2022.

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.

Please use the button at the foot of the page to reach the application form. 

Read more and apply here

Application deadline: 10th August, 2022

For questions, please contact:
Annika Lang, head of unit, Department of Mathematical Sciences, annika.lang@chalmers.se
Rebecka Jörnsten, Department of Mathematical Sciences, jornsten@chalmers.se

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