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This years SSF Industrial Doctoral Student Projects are…

SSF’s grant will go to research and postgraduate training for an industrial doctoral student, in collaboration with industry and academia. The grant covers a period of four to five years and will result in a doctoral degree (PhD). SSF is funding 12 projects with 3.25 million kronor each.

This year’s industrial doctoral project involves developing a sensor that can measure the quantity and quality of drug molecules directly during manufacturing. Another focuses is on improving a special additive manufacturing (a way of building materials layer by layer) to obtain a stronger and more uniform material for aircraft components. As new research shows that vaping increases lung damage caused by viruses, one of the industrial doctoral projects wants to continue the research – to understand what is happening at the cellular level, which in turn could lead to new and better therapy for lung diseases.
The 2025 approved projects are:

Applicant Project Company University
Christian Berger EASe – Evaluate Autonomous Systems with Foundation Models Einride Autonomous Technologies AB GU
Veronique Chotteau Nanoplasmonic Sensor for Biologics Bioprocess Monitoring ArgusEye KTH
Andreas Dahlin Label-free single biomolecule analysis with nanopores AstraZeneca Chalmers
Magnus Hörnqvist Colliander Microstructure control during hybrid additive manufacturing GKN Aerospace Sweden AB Chalmers
Peter Krajnik Next-Gen Processing of High-Performance Tool Steels Uddeholms AB Chalmers
Johan Moverare Additive Manufacturing for High Efficiency Motors ABB AB LiU
Mats Persson Intratreatment kVMV-imaging for inline adaptive radiotherapy Elekta KTH
Lisa Prahl Wittberg Cross-discipline for improved arteriovenous fistula care Njurmedicin, Karolinska Universitetssjukhuset Huddinge KTH
Isaac Skog Beyond Accuracy: Trustworthy Positioning Using 5G & 6G Ericsson AB KTH
Tommy Svensson Digital Twin-assisted 6G-B6G Dynamic Spectrum Sharing Ericsson AB Chalmers
Lena Uller Vaping and Rhinovirus as a Driver of Chronic Lung disease AstraZeneca LU
Niklas Wahlström Machine learning improving superconductivity in power cables NKT A/S UU

Get the original news article for the call here!

For further information, please contact:

Research Secretary Gergana Hamberg, gergana.hamberg@strategiska.se, 08 – 505 816 76

Program Manager Joakim Amorim, joakim.amorim@strategiska.se, 08-505 816 65