Researcher in advanced modelling of soft materials

Do you have experience in multi-physics modelling, image processing, machine learning, physics-informed neural networks or mathematical/statistical modelling connected to soft materials? Do you enjoy working in projects that focus on demand-driven technology development linked to societal and industrial challenges? Then we are looking for you, a researcher in advanced modelling of soft materials for our team in Gothenburg.

About us
Product Design at RISE consists of more than twenty experts in technology and design of foods and other soft, biobased materials. We offer an attractive workplace in a highly multidisciplinary environment where we conduct state-of-the-art research combining imaging and characterisation techniques, soft materials science, image processing, statistical and mathematical modelling, machine learning, and computational materials science to design future’s food and soft materials.

About the role
The role as researcher includes generating, managing and conducting projects together with clients and public partners with focus on:

· multi-physics modelling of heat-, mass- and impulse transport connected to phase transitions

· analysis methods for imaging and other materials characterisation data

· machine learning and physics-informed neural networks

· mathematical and statistical modelling

As a researcher, you will have an independent role while being part of a closely collaborating research team consisting of experts in mathematical statistics, soft materials science, imaging, chemistry, physics, and food science. You will also work closely together with RISE’s AI-scientists and experts from the large scale research infrastructure team working with X-ray and neutron techniques. Together with your colleagues, you will be expected to contribute to the overall development of the expanding soft materials modelling area on the unit, as well as being responsible for delivering scientific and technical results in other projects. You will apply for research grants as well as formulate assignments for industry.

The placement for this position is Gothenburg.

Who are you?
You like challenges and working together with colleagues and external partners both in academia and industry. You have an interest in scientifically and dynamically searching for solutions to complex questions, usually together with a team. You are well-organised, and broad in your modelling capabilities, building your models on strong knowledge of the fundamental principles behind the involved equations and not afraid to move to new areas depending on the needs.

Requirements:

· You have a PhD in mathematical statistics, chemical engineering, computational physics, computational materials science, food physics or similar. An engineering background before the PhD is positive.

· Fluent in English, both in writing and verbally. Swedish is very meritorious.

Experience of generating and performing research projects and contract work within the area of mathematical modelling in materials science is a strong merit. You are expected to contribute to all stages of our projects: planning, execution, reporting, implementation, scientific publishing, and communicating and building relations with partners and stakeholders. Earlier experience from research projects that involves multi-physics modelling, image processing, machine learning, physics-informed neural networks and/or mathematical/statistical modelling in soft materials science together with industry partners and an established network within national and international academia is similarly considered a merit.

You are welcome to submit your application!
If the above sounds appealing, you are welcome to apply for the position. For questions, please contact Unit Manager Lina Svanberg +46 10 516 66 79. The position is permanent and placed at RISE Food Research and Innovation. The last date to apply is 2nd of September, 2025. Interviews will be conducted throughout the application process.

Union representatives are: Linda Ikatti, Unionen, 010-516 51 61, och Ingemar Petermann, SACO, +46 10 228 41 22.