Lund University, Faculty of Science, Department of Astronomy and Theoretical Physics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

The computational biology and biological physics unit ( at the Department of Astronomy and Theoretical Physics seeks a PhD student, in theoretical physics with specialization in computational biology.

Work duties

Modeling and computations provide an indispensable tool in the exploration of biomolecular systems. The models may be atomistically detailed or simplified, while the computations often are based on methods such as Monte Carlo, molecular dynamics and machine learning. Biologically inspired problem can also serve as interesting test cases for novel computational approaches. An example of such a problem is structure determination for simple but challenging model proteins.  

The research of the doctoral student will focus on two main areas. One is the development of models and algorithms for simulations of biomolecular phase separation, with the aim of elucidating the forces driving the formation of membraneless organelles. The other area is development and testing of algorithms for quantum-based computations of the structure of simple model proteins.

The main duties of doctoral students are to devote themselves to their PhD studies and research. The work duties may also include teaching and other departmental duties (no more than 20 %).


To be eligibile for doctoral studies in theoretical physics with specialization in computational biology, the applicant has to have a first-cycle exam in biomedicine, chemistry, physics, mathematics or computer science, and, in addition, at least 60 credits at the second-cycle level in bioinformatics, computational biology or closely related areas. Thus, the applicant needs to have at least 240 credits in total.

Assessment criteria

Selection for doctoral studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

Knowledge and skills relevant to the thesis project and the subject of study. An assessment of ability to work independently and to formulate and tackle research problems. Written and oral communication skills. Other experience relevant to the doctoral studies, e.g. professional experience.

Of particular importance for the present position is knowledge and skills in statistical and computational physics. Previous experience in quantum computations or computational methods for biomolecular systems is an advantage.

Very good ability to communicate in English, both orally and in writing, is a requirement.

Terms of employment

Only those admitted to doctoral studies may be appointed to a doctoral studentship. Doctoral studentships are regulated by the Higher Education Ordinance (1993:100), ch. 5, §§ 1-7. Limit of tenure, four years according to HF 5 kap 7§.

How to apply

Applications shall be written in English and include a cover letter explaining why you are interested in the position. The application must also contain a CV, grade transcripts and other documents you wish to be considered. In addition, please name two references with contact information (e-mail address and phone number).


Type of employment Temporary position
First day of employment 2022 by agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2022/1667
  • Anders Irbäck, Professor, +46-46-2223493,
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
Published 05.May.2022
Last application date 27.May.2022 11:59 PM CEST

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