Doctoral student in Multiomics Machine Learning Cancer Bioinformatics
KTH Royal Institute of Technology is recruiting a doctoral student for a project in
multiomics, machine learning, and cancer bioinformatics
at KTH/SciLifeLab in Stockholm. The project sits within the third-cycle subject
Bio Biotechnology – Cancer Bioinformatics
and focuses on precision medicine, cancer progression, and the tumor microenvironment, with an emphasis on genitourinary cancers.
The research will combine bioinformatics-driven analyses, multi-omics data integration, and machine learning methods to investigate factors contributing to tumor progression and their links to cancer progression. The work is especially relevant for candidates interested in cancer biology, computational biology, translational research, and data-intensive biomedical discovery. Collaboration with clinical and translational researchers may be part of the project.
Supervision is proposed by
Assist Prof. Arian Lundberg
and
Prof. Cecilia Williams
. The successful candidate will join an active research environment at KTH/SciLifeLab in Stockholm and will work in a setting that values independent research, teamwork, and scientific communication.
Eligibility requires a second-cycle degree or equivalent qualification according to Swedish doctoral admission rules. A master’s degree in bioinformatics, computational biology, or a related field is required, together with a strong background in cancer biology. Practical skills in
Bash, R, and/or Python
are essential for analysis and multiomics integration. Candidates must also have strong English communication skills and an English level equivalent to
English B/6
. Two academic or research references are required, including one from a previous supervisor.
Selection will prioritize candidates who can work independently, collaborate effectively, analyze complex issues, show initiative, and manage multiple tasks. Experience with machine learning, multiomics integration, interdisciplinary research, clinical or patient data, HPC, and bioinformatics pipelines is advantageous. The position is a
temporary full-time doctoral appointment
with salary according to KTH’s doctoral student salary agreement.
Applications must be submitted through KTH’s recruitment system by
2026-09-12
. Required documents include diplomas and transcripts, evidence of language qualifications, a CV, an application letter describing research interests and future goals, and representative publications or technical reports.
