Postdoc in Bioinformatics with emphasis to ML

Chalmers University of Technology
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Job Description

Information about the division and the department

The Department of Life Sciences at Chalmers University of Technology is dedicated to harnessing the potential of biological systems and innovative technologies for the conversion of biomass into diverse applications such as foods, pharmaceuticals, materials, chemicals, and fuels. The Division of Systems and Synthetic Biology (Sysbio), as one of the four divisions within the department, offers a vibrant and collaborative research environment. With researchers from over 30 countries, the department embraces a truly international atmosphere, providing ample opportunities for networking, cultural exchange, and professional growth. Nurturing the careers of young researchers is a key objective, ensuring that you will receive the support and resources necessary to flourish in your scientific journey.

In summary, the position within the Zelezniak group at the Chalmers University of Technology offers a remarkable chance to work on the cutting edge of scientific discovery, combining ML and AI with wet lab experimentation. Furthermore, being part of the Department of Life Sciences and the Sysbio division provides access to a highly international and supportive research community. Embark on this transformative journey, where your skills and passion will contribute to advancing the frontiers of generative synthetic biology.

Major responsibilities

As a bioinformatician specialising in gene expression, this position requires a deep understanding of theoretical and methodological aspects of NGS data modalities, e.g. ATAC-seq, RNA-seq, single cell analysis. Your expertise in NGS analysis will be essential. In addition, your experience in machine learning and interest in developing your skills in generative AI will find its best use cases. An integral part of your responsibilities will involve leading projects independently, requiring your commitment, self-discipline and planning skills.

Furthermore, you will have an opportunity to contribute to other interdisciplinary projects at the intersection of machine learning and protein engineering, exploring innovative approaches and advancing the frontiers of both fields. Alongside your research activities, you can supervise master's students, supporting their development and nurturing your leadership skills.

Your involvement in interdisciplinary research, combined with the opportunity to work with cutting-edge technologies and other researchers like yourself, will enable you to make significant contributions to the field while continuously expanding your leadership and teamwork expertise.


The ideal candidate for this position should possess a PhD in bioinformatics/computational biology, focusing on genomics/evolution/protein engineering. The candidate should demonstrate experience in working with ML projects. Programming experience in Python/R is essential, including data analysis. Working with high-performance computing GPU clusters is highly desirable. It would be advantageous if the candidate had participated in international projects in the past.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*.

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

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree.

Contract terms

This postdoc 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.

Application procedure

The application should be marked with 20240084 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) including:

  • 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

Other documents:

  • Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.

Application deadline: 2024-05-30

For questions, please contact:

Aleksej Zelezniak, Life Sciences

Company Info.

Chalmers University of Technology

Chalmers University of Technology, situated in Gothenburg, Sweden, is a premier private research institution. Renowned for its expertise in engineering and science, Chalmers also boasts research and educational programs spanning shipping, architecture, and management. With a workforce of around 3,100 and a student body of 10,000, it stands as a dynamic hub of innovation and learning.

  • Industry
  • No. of Employees
  • Location
    Gothenburg, Vastra Gotaland, Sweden
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