We are looking for a motivated, independent post-doctoral 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.
Information about the research project
The announced post-doc 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 a twin-post-doctoral research project “Massively parallel in vivo gene editing and AI modeling to decipher brain tumor invasion”. This post-doctoral researcher will join Rebecka Jörnsten’s group at Chalmers and the DDLS post-doctoral researcher will join the Nelander lab at Uppsala University. Rebecka Jörnsten’s research group at the Division of Applied Mathematics and Statistics comprises 4 PhD students. 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
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.
Full-time temporary employment. The position is limited to a maximum of two years (1+1).
To qualify for this postdoc position, you must have a doctoral degree in a relevant field; statistics, mathematics, data science, computational sciences, computational biology or bioinformatics. 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. You should also be experienced in programming (Python/R or equivalent languages) and used to working with big data computing solutions.
The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.
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.