Postdoctoral Scholarship in AI, bioinformatics, and systems medicine
Linköping University (LiU), Sweden
- Institution
- Linköping University (LiU)
- Country
- Sweden
- Position type
- Postdoc
- Subject area
- Medicine & Health
- Salary
- appx $37,000 per annum (tax-free)
- Location
- SE
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what Linköping University (LiU) is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
About this position
Research environment
You will take part in research activities at the Division of Cell and Neurobiology and the research group of Associate Professor Wen Zhong, fellow in the Swedish national program for Data-Driven Life Science (DDLS). The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools for precision medicine. The DDLS program is a 12-year initiative funded with a total of 3.1 billion SEK (about 300 MEuro, 350 MUSD) from the Knut and Alice Wallenberg Foundation. The purpose of the program is to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden.
Research project
The rapid development of AI technologies and high-throughput molecular technologies is transforming the landscape of next-generation molecular diagnostics, early disease detection, and individualized risk stratification. Within this postdoctoral project, we aim to develop AI-driven analytical frameworks for multi-omics integration and precision medicine-based decision support.
As postdoctoral fellow, you will focus on the construction of multi-scale molecular health and disease network and develop AI-based analytical infrastructures to inform precision medicine-based decision support. The position entails collaborative work within an environment of doctoral and post-doctoral students, principal research engineers and experienced clinicians. Advanced modern facilities and resources, including Berzelius HPC system, a 300-petaflop NVIDIA SuperPOD resource, multi-omics platforms and bioinformatics infrastructures are fully accessed to facilitate the development of data-driven computational tools.
Qualifications and requirements
Scholarships can only be awarded to foreign citizens with a doctoral degree or equivalent obtained in a country other than Sweden. The date of the doctoral degree must be no more than four years before the application deadline; exceptions are made for e.g. parental or sick leave. The applicant must not have been employed by Linköping University previously.
Scholarship may not consist solely of research collaboration with a mutual exchange of methodological and technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period.
We are seeking an enthusiastic candidate with documented experience and a strong research interest in AI-driven Precision Medicine and Systems Biology. The applicant should have a doctoral degree in the field of AI, computational science, bioinformatics, or similar field, and must have demonstrated successful completion of projects during the graduate thesis studies. Practical experience in AI, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong publication record, good knowledge of English language and the ability to work in a team are required.
Information is provided by Associate Professor Wen Zhong, wen.zhong@liu.se
Starting date
November 2026 (negotiable)
Appointment and Conditions
Appointment is initially for one year with a possibility of an extension up to a total time for receiving a scholarship from Linköping University which cannot exceed two years.
The scholarship amounts to SEK 29 000:-/month (tax-free) (~€ 2,700/month). Funding can be available to participate in conferences.
Essential information about healthcare, insurances etc. can be found here. Questions are welcome to lisa.dobrosch@liu.se
Application procedure
The following documents (in pdf-format) must be submitted when applying for a scholarship
- Cover letter, max 1 page, describing your background, research interests and what makes you interested in the fellowship.
- Qualification and research plan, max 1 page, clearly describing proposed research plan for the scholarship period and qualifications, expertise, and previous experience that support the proposed work
- CV, max 4 pages, including contact details to three reference persons.
- Full publication list.
- Copy of passport, PhD diploma, and MSc transcripts with grades.
The application should be sent electronically to lisa.dobrosch@liu.se. Mark the email with Dnr. BKV-2026-00573 on subject line.
Applications deadline
September 1, 2026.
Apply directly to Linköping University (LiU)
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by Linköping University (LiU), and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Contact listed in the advert
Some positions — especially in Germany, Austria and Switzerland — are filled by writing directly to the supervisor rather than through an online form. These addresses were taken from the advert text, so check them against the official listing before you write.
A cold email to a supervisor is the highest-leverage thing you can send — and the easiest to get wrong. Ask us to look at yours before you hit send.