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 https:// 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
(https:// 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
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
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.
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.
The application should be marked with Ref 20220423 and written in English.
The application should be sent electronically and be attached as PDF-files, as
below. Maximum size for each file is 40 MB. Please note that the system does
not support Zip files.
CV: (Please name the document as: CV, Surname, Ref. number)
• 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
• Attested copies of completed education, grades and other certificates.
Use the button at the foot of the page to reach the application form.
Application deadline: 30th September 2022
For questions, please contact:
Annika Lang, head of unit, Department of Mathematical Sciences,
Rebecka Jörnsten, Department Department of Mathematical Sciences,
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: