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Postdoctoral Researcher in Computational Mathematics and Materials Science
Linköpings UniversitetÖstergötlands län, Norrköping
Previous experience is desired
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Postdoctoral Researcher in Computational Mathematics and Materials Science
The spatial distribution of nanoparticles on porous materials is crucial in many applications. Despite this, there are currently no methods to quantitatively describe this distribution. In collaboration between the Hellmuth group (computational mathematics, Stockholm University) and the CATSA group (materials science, Linköping University), we are developing new methods to quantify these distributions. We are now seeking an exceptional postdoctoral researcher to lead this work.
Why work with us?
With us, you will have the opportunity to further develop your expertise in computational mathematics, computer science, and machine learning for image recognition. You will develop methods and software that enable a new type of characterization of materials at the nanoscale – with significant impact in both academia and industry.
Your responsibilities
You will develop methods based on computational geometry to generate spatial information about nanoparticles on irregular 2D surfaces in 3D space.
A powerful experimental method for qualitatively investigating the spatial organization of nanoparticles in porous materials is electron tomography, which generates three-dimensional images (tomograms). One of your main goals will be to develop methods and tools to quantitatively describe the spatial distribution of nanoparticles in these tomograms.
Examples of questions that can be explored during your postdoctoral period:
- What are effective machine learning strategies for identifying large amounts of nanoparticles in tomograms?
- What are suitable descriptors of spatial distribution within materials science?
- What algorithms are appropriate for efficient quantification of spatial distribution in electron tomograms?
Examples of tasks:
- Algorithm development and implementation (e.g., in C++).
- Machine learning for image recognition.
- Transformation of tomographic voxel representations into triangulated surfaces (2-manifold triangular meshes).
- Collaboration with experimentalists to ensure the practical relevance of your developed tools/software.
Your work will be central to the broader development of new mathematical tools for material characterization being conducted within both the Hellmuth and CATSA groups. This development takes place in an interdisciplinary team of mathematicians, computer scientists, materials researchers, and physicists.
Your workplace
The position is jointly located in the Hellmuth group at the Department of Mathematics at Stockholm University and in the CATSA group at the Department of Science and Technology, Linköping University. You will spend most of your research time in the Hellmuth group, with regular meetings with the CATSA group. Supervisors are Marc Hellmuth and Alexander Holm.
The Hellmuth group operates at the intersection of computer science, mathematics, and experimental research, focusing on mathematical characterization of discrete data and developing theory to understand complex problems in the bio- and materials sciences.
The CATSA group focuses on fundamental and applied aspects of heterogeneous catalysis to create sustainable materials and chemicals. The group also develops new characterization tools, particularly in electron tomography.
Your qualifications
At the time of appointment, you should have a PhD in mathematics, computer science, physics, materials science, or a related field.
You should have documented expertise in at least one of the following areas:
- Computational geometry
- Algorithm development
- Machine learning for image recognition
Expertise should be supported by scientific publications, conference contributions, developed software, teaching, or similar.
You should be strongly self-motivated and have a genuine interest in fundamental research. Personal qualities and suitability are highly valued.
About the position
The position is a fixed-term position for two years. The postdoctoral position is full-time.
Start date in spring 2026 or by agreement.
Salary and benefits
The university applies individual salary setting. Our postdoctoral researchers typically have a starting salary of around 42,000 SEK/month.
Read more about employee benefits here.
Union contacts
Information about union contacts can be found in Help for applicants.
Application
You apply for this position by clicking the “Apply” button below. Your application must be received by Linköping University no later than December 15, 2025. Applications received after the deadline will not be considered.
The application should be written in English and include:
- Cover letter (max 1 page) – describe why you are interested in and suitable for the position
- CV – with information on education, publications, relevant merits
- Transcripts and degree certificates from undergraduate and graduate levels (BSc/MSc or equivalent), in English
We welcome applicants with diverse backgrounds, experiences, and perspectives, as this enriches and develops our work. It is self-evident for us to uphold everyone's equal value, rights, and opportunities. Read about our work with Equal Conditions.
Welcome with your application!
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