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Abhishek Garg

Top university

1 week ago

Postdoctoral Position in Computational/AI Antibody Design for Immuno-Oncology KU Leuven in Belgium

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Belgium

University

KU Leuven

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Where to contact

Official Email

Keywords

Computer Science
Biomarker Research
Immunotherapy
Biology
Computational Biology
Antibody Engineering
Medical Science
Diffusion
Omics
Bioinformatic
Machine learning
cancer immuonology

About this position

KU Leuven invites applications for a postdoctoral position in computational/AI antibody design within the Department of Cellular & Molecular Medicine, under the supervision of Prof. Abhishek D Garg. This role is part of a collaborative immuno-oncology platform, in partnership with PharmAbs, aiming to bridge academia and industry through innovative research in cancer immunotherapy.

The successful candidate will join a dynamic, multidisciplinary team focused on leveraging advanced machine learning and multi-omics approaches to identify clinically relevant biomarkers and develop novel immunotherapeutic strategies. The position centers on building and optimizing computational pipelines for antibody engineering, including antibody generation, affinity maturation, and sequence optimization. State-of-the-art tools such as AlphaFold2, RFdiffusion, and multi-omics data integration will be employed to guide the rational design and evaluation of therapeutic antibodies.

Responsibilities include designing scalable computational frameworks, implementing robust scoring metrics (binding affinity, developability, biocompatibility), and collaborating with multiple research teams. The role offers significant opportunities for professional growth, training, and leadership within a high-impact, translational research environment.

Applicants must have a PhD in computational biology, cheminformatics, AI-guided antibody design, in silico drug discovery, protein modelling, or a related field. Essential skills include experience with antibody design models (e.g., RFdiffusion, boltzgen, AlphaFold3), affinity prediction tools (FoldX, RosettaFold, ESM), virtual screening, and developability assessment (aggrescan, AbImmPred). Proficiency in Python, Bash scripting, high performance computing, and statistical analysis is required. A strong publication record, motivation, creativity, and excellent English communication skills are expected.

The position offers a full-time contract for one year, with the possibility of extension for at least three more years. Candidates are encouraged to apply for personal postdoctoral funding. KU Leuven provides access to cutting-edge machine learning infrastructure and a stimulating international research environment. The university is located in Leuven, Belgium, a vibrant city just 20 minutes from Brussels.

For more information, visit the CSI Lab and PharmAbs websites. Interested candidates should apply via the KU Leuven job portal. For inquiries, contact Prof. dr. Abhishek Garg at [email protected].

KU Leuven is committed to diversity, inclusion, and equal opportunity. The university fosters a respectful and supportive environment for all staff and students.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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