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At Linköping University, we are announcing the position as DDLS PhD student in “Data driven cell and molecular biology”. This field covers research that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments.
For more information about the vacancie
https://liu.se/en/work-at-liu/vacancies/29087
Work assignments
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
In this position, your task will be to enhance state-of-the-art predictive modelling of IDP interactions by actively integrating proximity profiling data from biotinylated interactomes assayed by mass spectrometry (BioID). Highly dynamic intrinsically disordered regions (IDRs) are present in ~70% of proteins in the human proteome, and adopt conformational ensembles rather than fixed 3D structures, both alone and in the context of complexes. Despite recent immense progress in in-silico structural proteomics (2024 Nobel Prize to Baker, Hassabis, Jumper), the amount of experimental data on such complexes is still not sufficient to train AI protocols to reliably predict IDP interactions.
For the full description, see link above.
Qualifications
You have graduated at Master’s level in natural, medical or engineering science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.
It is highly meriting for the position if you can say yes to some of the points below,:
- Proficiency in programming languages, preferably Python.
- Knowledge of AI and machine learning techniques
- Experience in AI applications for structural bioinformatics or related areas.
- Familiarity with the AlphaFold platform and its applications in protein structure prediction.
- Experience with BASH and the command line.
- Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles.
- Experience with molecular modeling and simulation software, such as GROMACS, NAMD, or Rosetta.
For full requirements, see link above.
The workplace
You will be employed at the Department of Physics, Chemistry and Biology (IFM) at Linköping University, where its divisions of chemistry and bioinformatics conduct research and education in protein science, structural bioinformatics and structural biology. The PhD student will follow the postgraduate program in bioinformatics and will carry out research stays at the University of Toronto as part of the PhD project.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to
human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/
The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!
Jag vet inte varför jag får en sidbrytning här när jag klistrar in texten från DDLS.
The employment
Starting date by agreement.
For more information on eligibility requirements, assessment criteria and recruitment procedures for teachers, see Linköping University´s rules of appointment https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784.
Salary and employment benefits
The salary of PhD students is determined according to a locally negotiated salary progression.
More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits.
Union representatives
Information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants.
Application procedure
Your application must be received no later than the 28th of May 2026.
We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Om Linköpings Universitet
- Linköpings Universitet
- 2021003096
- liu.se/
- Linköping, Östergötlands län