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PhD Position in Computational Modelling of Cellular Neighbourhoods in Spatial Multi-Omics (SPACE-MEL DC11) KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 20, 2026

Country flag

Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Computational Biology
Medical Science
Melanoma
Digital Pathology
Statistics
Bioinformatic
ML

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About this position

Doctoral Candidate / PhD Position in the SPACE-MEL MSCA Doctoral Network (DC11)

Aspect Analytics NV is recruiting a fully funded Doctoral Candidate for a 36-month industrial PhD in the Horizon Europe Marie Skłodowska-Curie Doctoral Network SPACE-MEL. The project is based in Belgium and leads to enrolment in a doctoral programme at KU Leuven. The research is centred on computational modelling of cellular neighbourhoods in spatial multi-omics, with melanoma as the main disease context.

The DC11 project will develop new computational frameworks to analyse cellular neighbourhoods, tissue regions, and spatial interactions from integrated spatial and single-cell multi-omics data. The work builds on Aspect Analytics’ existing tools and the Weave® platform, with a strong focus on spatial data integration, scalable pipelines, clustering, embedding, interpretation, and multimodal analysis. The successful candidate will contribute to novel methods for spatial biology while applying them to melanoma datasets generated within SPACE-MEL, including MuM and ESM.

The fellow will be based at Aspect Analytics in Genk, Belgium, a life sciences company specialising in cloud-based software and bioinformatics services for spatial multi-omics. The environment includes access to GPU-based computing, expertise in spatial co-registration and data integration, and support for image analysis, digital pathology annotation, and high-resolution microscopy visualisation. The position offers joint industrial and academic supervision and a personalised career development plan.

Supervision is shared across several experts: Dr Marc Claesen (main supervisor, Aspect Analytics), Prof. Bernd Bodenmiller (academic co-supervisor, University of Zurich), Dr Maria Mantas (industrial co-supervisor, Aspect Analytics), and Dr Alejandro Sifrim (KU Leuven secondment supervisor). Planned secondments include six months at the University of Zurich for training in spatial proteomics, tumour microenvironment analysis, and cross-modal integration, and three months at KU Leuven focusing on multimodal embeddings, cross-modal alignment, and interpretability.

The position is fully funded under SPACE-MEL and includes a full-time 36-month contract, a contractual gross yearly salary of €46,147 for candidates with no qualifying family, a mobility allowance of €2,556 per year, and coverage for eligible research, training, networking, conference, and secondment costs. The applicable MSCA family allowance may also be included where eligible.

Applicants must hold, or expect to hold before the starting date, a relevant master’s degree or equivalent doctoral-entry qualification in a quantitative field such as bioinformatics, computational biology, computer science, data science, artificial intelligence, biostatistics, biomedical engineering, systems biology, or applied mathematics. Strong programming skills, a quantitative background, experience with high-dimensional biological or biomedical data, and good English communication skills are required. Candidates should also be willing to work across computational research, spatial biology, cancer research, and industrial software development, and must be able to complete the planned secondments and network activities.

The MSCA mobility rules apply: applicants must not already hold a doctoral degree and must not have spent more than 12 months in Belgium during the 36 months immediately before recruitment, subject to standard MSCA exceptions. Applications are accepted in English and should include a CV, motivation statement, exam marks, degree certificate, referee contacts, and optional links to publications, repositories, or portfolios.

Deadline: 20 November 2026 at 17:00 (Europe/Brussels).

Funding details

Available

What's required

Applicants must hold, or complete before the start date, a master's degree or equivalent qualification granting doctoral access in bioinformatics, computational biology, computer science, data science, artificial intelligence, biostatistics, biomedical engineering, systems biology, applied mathematics, or a related quantitative field. Candidates should have a strong quantitative/computational or bioinformatics background, programming experience in Python or a comparable scientific language, experience analysing high-dimensional biological or biomedical data, and knowledge of statistics, machine learning, or data-analysis methodology. They should be able to formulate research questions, produce reproducible and well-documented computational solutions, communicate well in English, and provide an English test such as IELTS, TOEFL, or Cambridge English unless exempt. Applicants must also meet MSCA Doctoral Network mobility rules, must not already hold a doctoral degree, and must have resided or carried out their main activity in Belgium for no more than 12 months in the 36 months before recruitment. Desirable experience includes spatial or single-cell omics, multimodal data integration, image analysis, digital pathology, multiplex tissue imaging, spatial statistics, representation learning, clustering, graph-based methods, deep learning, interpretable machine learning, high-performance or distributed computing, Docker, cancer biology, tumour immunology or melanoma research, version control, software engineering, and interactive visualisation.

How to apply

Submit the application in English through the designated recruitment route before the deadline. Use the provided contact email [email protected] for application or enquiries. Include a CV, motivation statement, exam transcript, degree certificate, and up to two referees' contact details, plus optional links to publications or software.

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Professors

Prof. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Statistics

Biology

Computational Biology

Bioinformatic

Biomedical Engineering