[SocBiN] Two PhD positions in computational proteomics at KTH/SciLifeLab

[Lukas Käll]

Dear colleagues,

I am currently recruiting for two PhD positions in my group at KTH /
SciLifeLab, both focused on machine learning in mass spectrometry and
proteomics. Please share with anyone who might be interested.

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Position 1: Identification & quantification errors in MS-based proteomics
Funding: EU Horizon Europe, Marie Skłodowska-Curie Doctoral Network
(ProtAIomics, Project 13)
Deadline: 28 April 2026
Apply: https://recruitment.crg.eu/content/jobs/position/protaiomics

This position is part of a European network of 16 doctoral candidates,
with regular training events, network meetings across Europe, and
funding for short stays at partner institutions.
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Position 2: Deep learning for mass spectrometry data
Funding: DDLS (Data-Driven Life Science) Research School, Knut and
Alice Wallenberg Foundation
Deadline: 13 May 2026
Apply: https://www.kth.se/lediga-jobb/919030?l=en

We are looking for candidates with a background in machine learning or
deep learning (preferably transformer architectures), probabilistic
modeling or Bayesian statistics, and Python/PyTorch. Familiarity with
mass spectrometry-based proteomics is a plus. The position is embedded
in the national DDLS Research School, a major investment in
data-driven life science in Sweden.

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Both positions are supervised by Lukas Käll at SciLifeLab / KTH, Stockholm.

Best regards,
Lukas Käll