The Department of Science and Environment, Roskilde University, invites applications for a position as postdoc in Applied Mathematics – Theory and applications of adaptive network dynamics from 1 August 2026, or as soon as possible thereafter. The position as postdoc is limited to a period of 2 years (with extension possible).
In this project, we aim to develop a mathematical theory of adaptive (or co-evolutionary) network dynamics. Such dynamics arise when the dynamics of both network nodes and network connections interact and co-evolve. Examples include learning and synaptic plasticity in neuroscience, predator-prey food webs, transport and distribution networks, microbiome-host interactions, and social networks. The main direction of the project is the development of a mathematical framework for adaptive network systems, with an emphasis on model reduction and the emergence of low-dimensional dynamics, based on methods from dynamical systems theory. Complementary directions concern applications of adaptive network dynamics, including (i) modeling questions in mathematical neuroscience, with the aim of motivating and testing the theoretical framework, and (ii) inference of network structure from time-series data, which may be pursued using adaptive-network-based approaches or reservoir computing. The postdoc will join a research group embedded in a larger mathematical modeling environment that values collaboration, mutual support, and individual development, with opportunities for interaction within an international research network. This position is part of a larger research project funded by the Novo Nordisk Foundation.
About the department
The department of Science and Environment is one of four departments at Roskilde University. The Department conducts basic and applied research within mathematics, medical biology, physics, molecular biology, environmental sciences, and chemistry. It offers Bachelor and Master programs across these fields and is characterised by a strong interdisciplinary research culture. Roskilde University is located close to Copenhagen and is easily accessible by public transport (approximately 22 min. from Copenhagen Central Station and 30-45 min from Copenhagen airport).
About mathematics at the department
Mathematics at Roskilde University contributes to a broad, research-based education in applied mathematics and scientific modelling. Research and teaching are closely integrated, with an emphasis on problem-oriented and interdisciplinary approaches. The research activities are internationally oriented and address topics of clear societal relevance. Within mathematics, particular strengths include the development and application of mathematical models, especially those based on dynamical systems theory. Application areas cover mathematical biology, in particular areas such as health and medicine, epidemiology, and green and clean technologies.
The position is anchored in the section for Mathematics & Physics (IMFUFA), which currently comprises approximately 18 faculty members at professor, associate professor, and assistant professor levels, supported by PhD students, postdoctoral researchers, and technical and administrative staff. Research within the mathematics group primarily focuses on the mathematical modelling of biological and physical systems, with an emphasis on both the application and further development of dynamical systems theory. IMFUFA offers a collaborative and strong internationally oriented research environment. Further information about the section is available at https://ruc.dk/en/research-group/mathematics-and-physics-imfufa.
Responsibilities and tasks
The postdoc’s work will involve research within dynamical systems theory and network theory, with applications in mathematical modeling in neuroscience and in machine learning. In addition, a smaller amount of teaching is required.
The ideal candidate is expected to:
- Possess a strong interest in applied mathematics, mathematical neuroscience and machine learning
- Lead independent research activities in close collaboration with the supervisor
- Be able to think out-of-the-box and help developing new ways to overcome research challenges
- Mentor younger students within the focus of the research project and contribute to undergraduate teaching.
Qualifications
Applicants must hold a PhD or equivalent within (applied) mathematics, scientific computing, theoretical physics or similar. Qualifications within the following scientific areas are required:
- Strong knowledge in applied mathematics and dynamical systems theory, incl. bifurcation theory and network theory
- Proficiency in scientific programming (e.g., Python, Julia, Matlab) and symbolic computation
- Excellent written and oral English communication skills,
- Highly organized with strong attention to details and focus on quality results.
The ideal candidate shall be enterprising and possess good communication skills, be visible and involved in the department’s daily activities, in addition to being willing to engage in disciplinary and interdisciplinary collaboration across the department.
Assessment
In the assessment of the candidates consideration will be given to:
- Scientific production and research prospective,
- Ability to promote and utilize research results,
- Ability to find creative ways of solving challenges,
- Eagerness to gain knowledge in new fields
- Experience in teaching and education,
- Ability to contribute to development of the department’s internal and external cooperation.
Questions
For further information about the postdoc position, please contact PI Associate Professor Erik Andreas Martens, email emartens@ruc.dk or on tel. (+45) 30 64 57 02, or Head of Department Susanne Sørensen, email: susa@ruc.dk on tel. (+45) 4674-2111 / (+45) 6195-1197.
Terms of employment
The employment is on full time, 37 hours per week and you will refer to Associate Professor Erik Andreas Martens.
The position will be filled according to the Agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC) and Job Structure for Academic Staff at Universities.
Application procedure
After the deadline for applications the Dean will shortlist applicants for assessment with assistance from the recruitment committee including the chairperson of the assessment committee.
Shortly after the application deadline all applicants will be notified whether or not their application has been selected for assessment.
The shortlisted applicants will be informed about the composition of the assessment committee, and each applicant will be given the opportunity to comment on the composition of the committee and - later on - their assessment.
Once the recruitment process is completed, all applicants will be informed of the outcome of their application.
Application
To apply for the position go to www.ruc.dk/en/job/
Only applications in English are accepted.
Applications must include:
1. Cover letter explaining your motivation and how your background aligns with the advertised research topic (max. 1 page)
2. CV
3. Documentation of education
4. Teaching portfolio (read more about teaching portfolio at Roskilde University here)
5. A complete list of publications
6. A maximum of 5 relevant scientific works that you want included in the assessment
If any of the publications that you want included in the assessment are the result of a joint effort, the extent and the nature of your contribution to each individual work must then be clarified in a co-author statement (find template here)
7. Research plan (max. 2 pages)
Please submit your application no later than 7th af May 2026.
Material received after this date will not be taken into consideration.
Roskilde University wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Roskilde Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Roskilde Universitet, Universitetsvej, 4000 Roskilde
-Ansøgning:
Ansøgningsfrist: 07-05-2026;
Se mere her: https://job.jobnet.dk/find-job/d54f7677-ad03-4a1c-bc49-84e3f2fdf715
