WASP-DDLS 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/.

The announced postdoc position is part of a joint collaboration between the two 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.

This position is part of the twin-postdoctoral research project “Massively parallel in vivo gene editing and AI modeling to decipher brain tumor invasion”. The WASP post-doctoral researcher (this position) will join Rebecka Jörnsten’s group at Chalmers (http://www.math.chalmers.se/~jornsten/) and the DDLS post-doctoral researcher has recently joined the Nelander lab at Uppsala University (https://nelanderlab.org/).

We are looking for a motivated, independent postdoctoral and team-oriented researcher in AI and machine learning eager to work on the development of new methodologies and computing solutions to analyze complex, high-dimensional data. The project involves both real-world data analysis and new methods’ development. The key analytical challenge in this project is to analyze a new type of massively parallel gene knockout experiments in the context of brain tumor studies. Towards this goal, you will develop methods for neural network regularization appropriate for the analysis of noisy data and algorithms for optimal experimental design, as well as data augmentation and transfer learning methods to combine heterogeneous data sources.

Rebecka Jörnsten’s research group at the Division of Applied Mathematics and Statistics comprises 3 PhD students and 2 post-docs. The research group is focused on network modeling, data integration and regularization techniques in high-dimensional statistical modeling and neural networks. We collaborate with several research groups in cancer genomics and bioinformatics.

Information about WASP and DDLS:
WASP: 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: https://wasp-sweden.org/

DDLS: 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 program 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: https://www.scilifelab.se/data-driven

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 PhD students. The teaching of undergraduate students may also be included to a small extent.

Qualifications
The applicant should have a PhD degree in a relevant area, such as statistics, mathematics, data science, computational sciences, computational biology or bioinformatics. The PhD degree should normally have been 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 and genomics is meritorious. Documented previous experience of engaging in productive team-work, e.g. collaboration with experimental partners, is an important merit. The applicant should also be experienced in programming (Python/R or equivalent languages) and used to working with big data computing solutions. Strong communicative skills and fluency in written and spoken English are a requirement.

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

Contract terms
This post-doc 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.

Read more and apply here

Application deadline: 30th September 2022

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