Doctoral student in AI and ML for analysis of single‑cell cancer data KTH Royal Institute of Technology in Sweden

This doctoral position at KTH Royal Institute of Technology focuses on the development of advanced probabilistic and AI-enhanced Bayesian methods for the analysis of tumor DNA and circulating tumor DNA (ctDNA), aiming to detect metastases in cancer patients. The research integrates phylogenetic modeling, single-cell data, and longitudinal blood samples, and involves the creation of novel deep learning-based inference techniques. The project is a collaborative effort between KTH and Karolinska Institutet (KI), providing access to unique international cancer datasets.

The position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), a major initiative funded by the KAW Foundation with 3.3 billion SEK over 12 years. The DDLS program is designed to recruit and train the next generation of data-driven life scientists, with a strong emphasis on computational and data science capabilities. The program covers four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, and epidemiology and biology of infection.

Supervision will be provided by Dr. Jens Lagergren, an expert in computational biology and bioinformatics. The successful candidate will join a vibrant research environment with access to international collaborations and cutting-edge resources. The position offers full-time employment for up to four years, with a monthly salary and comprehensive employee benefits according to KTH’s doctoral student salary agreement.

Eligibility requirements include a master’s degree or equivalent in computer science, mathematics, statistics, bioinformatics, or a related field. Applicants must demonstrate English proficiency equivalent to English B/6. Experience in AI, machine learning, Bayesian inference, mathematics, programming, or phylogenetic models is highly valued. Candidates should be goal-oriented, able to work independently and collaboratively, and possess strong analytical skills. Selection will emphasize both academic qualifications and personal attributes.

Applications must be submitted through KTH’s recruitment system and include certified copies of diplomas, grades, and language certificates, a CV detailing relevant experience, an application letter outlining academic interests and motivation, and representative publications or technical reports. The deadline for applications is June 3, 2026. For further information, contact Dr. Jens Lagergren at [email protected].

KTH Royal Institute of Technology is a leading international technical university located in Stockholm, Sweden. The institution is committed to advancing education, research, and innovation, with a focus on sustainability, equality, diversity, and equal opportunities. The doctoral student will benefit from a creative and dynamic environment, excellent working conditions, and attractive benefits.