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Filipe Pereira

Top university

6 months ago

PhD in Computational Immune Reprogramming at Lund University Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

The position is funded by the SciLifeLab Data-Driven Life Science (DDLS) program and the student will be integrated into the DDLS Research School. It is a temporary doctoral position for four years with monthly salary; no tuition details are stated.

Deadline

Expired

Country flag

Country

Sweden

University

Lund University

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Keywords

Computer Science
Machine Learning
Immunotherapy
Biomedical Engineering
Biology
Mathematical Modeling
Single-cell Analysis
Medical Science
Tumor Immunology
Omics
Statistics
Bioinformatic

About this position

PhD position in Computational Immune Reprogramming at Lund University

This doctoral opportunity is in the Pereira Lab at Lund University, within the Department of Laboratory Medicine and the Faculty of Medicine. The project is part of the SciLifeLab Data-Driven Life Science (DDLS) program and the DDLS Research School.

The research focuses on computational biology, bioinformatics, single-cell RNA-seq, multi-omics, machine learning, and mathematical/statistical modelling to build a virtual screening platform for immune cell reprogramming. The student will analyze REPROcode data, identify induced immune cell states, map transcription factor networks, and predict new transcription factor combinations that drive immune identity. The broader biomedical context includes cancer immunotherapy, immunology, and cell fate reprogramming.

The lab studies how hematopoietic and immune cell identities are specified and modified, with translational interests in improving anti-tumor immune responses. The project is highly interdisciplinary and suited to candidates who enjoy combining computational and biological questions in a collaborative research environment.

Eligibility highlights: a Master’s degree or equivalent in a relevant field; experience with next-generation sequencing data, preferably single-cell and/or other omics data; programming in Python and/or R; familiarity with tools such as Seurat or Scanpy; strong English communication skills; and the ability to work independently and in teams. Additional experience in cancer immunology, immunotherapy, hematopoiesis, multi-omics integration, statistical modelling, machine learning, or data visualization is advantageous.

Funding and terms: the position is funded by DDLS, is a temporary doctoral appointment for four years, and includes a monthly salary. The start date is intended to be 1 October 2026 or as agreed.

Application window: published 13 April 2026; last application date 17 May 2026.

How to apply: submit the application through Lund University’s recruitment system. Prepare a one-page cover letter, CV with publications, a one-page description of previous computational work, degree documents, two letters of recommendation, and any other relevant supporting materials.

Funding details

The position is funded by the SciLifeLab Data-Driven Life Science (DDLS) program and the student will be integrated into the DDLS Research School. It is a temporary doctoral position for four years with monthly salary; no tuition details are stated.

What's required

Applicants must meet general entry requirements for doctoral studies at Lund University. Required qualifications include a Master’s degree or equivalent in bioinformatics, computational biology, systems biology, biotechnology, biomedicine, computer science, or a related field; documented experience analyzing next-generation sequencing data, preferably single-cell RNA-seq and/or other omics data; programming or scripting skills in Python and/or R; experience with bioinformatics tools or frameworks such as Seurat or Scanpy; strong ability to work independently and collaboratively in a multidisciplinary environment; and good oral and written English. Additional merits include experience in cancer immunology, immunotherapy, or hematopoiesis/immunology-related research, multi-omics integration, statistical modelling, machine learning for biological data, and data visualization or tool development. Only those admitted to PhD studies may be appointed.

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Professors

Professor

University Name
Country flag

Sweden

Research Interests

Statistics

Immunotherapy

Tumor Immunology

Medical Science

Biology