PhD student in Statistics

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Ref IDA-2025-00412
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We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science.

Your 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 per cent of full-time. 

The research projects for the advertised position will be in the area of ​​branching stochastic processes for phylogenetic comparative methods.

This is primarily focused on fundamental research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing for testing and applying the methods on real data.

Additional information about the division and suggestions for research projects can be found here.

Your qualifications

Before the start date of the position you have graduated at Master’s level in Natural Sciences or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in Mathematics or Statistics. Alternatively, you have gained essentially corresponding knowledge in another way.

The candidate should also have good communication skills, excellent study results, and sufficient proficiency in oral and written English. A strong background in mathematics as well as programming skills are particularly valued. The project involves both theoretical and applied work.

Your workplace

The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe. Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida

The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. 

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University.

The employment has a duration of normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. 

Starting date by agreement, expected around September 2026.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than March 3, 2026.

Applications and documents received after the date above will not be considered.

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: Equal opportunities.

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.

Contact persons

Elin Ånell

HR-administratör

elin.anell@liu.se

Krzysztof Bartoszek

Senior associate professor

krzysztof.bartoszek@liu.se

Frank Miller

Head of unit, Professor

frank.miller@liu.se

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