Research Assistant position in Machine Learning for Digital Life and Industry

Published: 2022-09-27

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.

This is a position at the Department of Cell and Molecular Biology (ICM) that has been funded through a European Union initiative for Research and Innovation with a grant for the project entitled “Embedded storage elements on next MCU generation ready for AI on the edge”. The Department of Cell and Molecular Biology is organized into seven research programs which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The scientific basis of what we do lies in biology, but our research overlaps with other areas such as medicine, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and around 60 Ph.D. students. Please read more about the department’s work at https://icm.uu.se . The position is in Professor Jan Komorowski’s research laboratory at the Computational Biology and Bioinformatics program.

Read more about our benefits and what it is like to work at Uppsala University

Duties
This very big European project brings experts in a wide range of fields from machine learning through sensor technologies, to the design of energy-efficient hardware executable on mobile devices. The goal of the subproject at Professor Komorowski’s Laboratory is to develop machine learning solutions for decision support at patient’s bed and for intelligent tools in automotive industry; these are to be used autonomously on small mobile devices also without access to the internet.  The project will be executed in collaboration with Professor Ahmed Hemani’s research group at the Royal Institute of Technology who will be responsible for the design of hardware solutions, and Strikersoft AB and AtlasCopco who will provide use cases and domain expertise. 

Requirements
The candidate should have a MD degree and an MSc degree in biomedical imaging and experience in analyzing complex medical or technical data.

Previous experience of working with biomedical signals, image processing and NGS data as well as familiarity with Unix-based systems and cluster computation, particular SLURM-controlled systems, is necessary. Expertise in machine learning, software development, particularly systems level programming such as Rust or C++, and data analysis, with tools as Julia or R, is required. The applicant must have an excellent ability to work independently and in multidisciplinary groups. Strong communication skills in English, both written and oral, are required, as the work takes place in a multi-international environment."

About the employment
The employment is a temporary position lasting until 2023-04-30.  The scope of the employment is 100 %. Starting date as soon as possible or as agreed. Placement: Uppsala

For further information about the position, please contact: Professor Jan Komorowski, 070 425 07 75, [email protected]

Please submit your application by October 11 2022, UFV-PA 2022/3500.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

Placement: Department of Cell and Molecular Biology

Type of employment: Full time , Temporary position 3-6 months

Pay: Individual salary

Number of positions: 1

Working hours: 100%

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Seko Universitetsklubben [email protected]
ST/TCO [email protected]
Saco-rådet [email protected]

Number of reference: UFV-PA 2022/3500

Last application date: 2022-10-11

Apply for position