项目介绍

2024年12月20日

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience of all aspects of higher education.  More information about us can be found on our website: http://www.chalmers.se/math/

At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of finite element methods, inverse wave propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning.  

Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

We are looking for a doctoral student in statistics and machine learning who will work on developing statistical and machine methods for personalized medicine under the supervision of Professor Rebecka Jörnsten.

General information about being a doctoral student at the University of Gothenburg can be found on the university’s doctoral student pages. 

Subject area

Applied Mathematics and Statistics

Specific subject description

We will recruit one doctoral student in statistics and machine learning to work under the supervision of Rebecka Jörnsten (https://rjornsten.github.io/) in the project “CNSx3: Transformative Models for Brain Diseases“ funded by the Swedish Foundation for Strategic Research. CNSx3 is a multidisciplinary research center with partners at Uppsala University, Linköping University, Chalmers University of Technology and the University of Gothenburg. The CNSx3 center aims to develop ground-breaking therapies against brain diseases. Three techniques will be used together: organoid cultures in fluid circuits, patient-specific biobanks and advanced computational methodology. The research conducted by the recruited doctoral student will contribute with machine learning techniques to find new treatments and tailor therapies for individual patients. Specifically, you will work on reinforcement learning methods to propose optimal sequential and combination therapies. The project comprises both methodological and application-oriented research aims. Part of the project will be to develop a digital twin system, augmenting experimental data with synthetic data obtained through models of cancer growth and treatment responses, together with researchers at Chalmers.

Job assignments

You will be enrolled in a graduate program at the Department of Mathematical Sciences (https://www.chalmers.se/en/departments/math/research/postgraduate-studies/Pages/Graduate-schools-and-third-cycle-subjects.aspx). During the second half of PhD studies you are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20% departmental work, mostly teaching duties.

The employment is a fixed-term position limited to a maximum of five years, four years of studies and up to one year of departmental work distributed during the whole employment period.

Eligibility   

The eligibility for academic positions is given in the Swedish Higher Education Ordinance. To qualify for the position the applicant must have obtained a master’s degree or a 4-year bachelor’s degree in mathematics, applied mathematics, mathematical statistics, or other relevant field or expect to complete such a degree by September 1, 2025.

Good presentation and communication skills in oral and written English are required.

Experience in one or several of the following areas may be meritorious: reinforcement learning, statistical machine learning, programming, working with diverse data sources and/or biological applications (e.g., genomic data, image data, biological data bases).

Please, include all relevant work such as bachelor’s or master’s thesis and articles (provide an English summary if necessary) that you have authored or co-authored.

Assessment

Regulations for the evaluation of qualifications for education on a doctoral level are given in SFS 1998:80.

Admission and employment   

Once you have been admitted to doctoral studies, you will be employed as a doctoral student at the University of Gothenburg.   

The provisions for employment as a doctoral student can be found in ordinance SFS 1993:100.    

Initial employment as a doctoral student may apply for a maximum of one year, and may be renewed by a maximum of two years at a time.  

A doctoral student may be employed as a doctoral student for a maximum of eight years, but the total period of employment may not be longer than the equivalent of full-time education at doctoral level for four years.   

Type of employment: Fixed-term employment
Extent: 100 %
Location: Department of Mathematical Sciences, Gothenburg
First day of employment: August 15, 2025

Contact information 

Rebecka Jörnsten, Professor, Applied Statistics and Biostatistics

+46 760 491949, jornsten@chalmers.se 

Irina Pettersson, Docent, Head of Unit of Applied Mathematics and Statistics

+46 31 772 , irinap@chalmers.se

Umberto Picchini, Professor, Head of graduate school in Applied Mathematics and Statistics

+46 31 772 6414, picchini@chalmers.se

Unions 

Union representatives at the University of Gothenburg can be found here:   
https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande   

Application procedure 

Submit the following documents:

• Application letter (max 2 pages) where you introduce yourself and describe your background and research interests
• Detailed curriculum vitae
• Electronic copies of your master and bachelor transcripts
• Copies of your bachelor’s and master’s thesis if available
• Names of at least two reference persons

Application   

You can apply to be admitted to doctoral education via the University of Gothenburg’s recruitment portal.   

It is your responsibility to ensure that the application is complete as per this notice, and that the University receives it by the final application deadline.   

Applications must be received by:  2025-02-20

Read more and apply here

Information for International Applicants 

Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit: 

https://www.gu.se/en/about-the-university/welcome-services 
https://www.movetogothenburg.com/