Daniel Bojar

The University of Gothenburg is offering a fully funded PhD position in Natural Science, specialising in Biology with a focus on Bioinformatics, Artificial Intelligence, and Systems Glycobiology. The successful candidate will join the Bojar group, led by Dr. Daniel Bojar, which specializes in machine learning and systems glycobiology. The research will center on developing new AI models and data science techniques to improve the processing and analysis of glycomics data, aiming to yield new functional insights into systems glycobiology. Key responsibilities include improving AI models for glycomics data analysis, extending bioinformatics workflows to discover glycan-derived biomarker candidates, and developing enrichment analyses for glycan-related data. The position is predominantly computational, but opportunities for wet-lab involvement exist if desired. The project requires integration of experimental and computational methods and effective interdisciplinary communication. The PhD student will be encouraged to collaborate within and outside the group, present research at international conferences, and co-supervise undergraduate students. The position is financed by the Future Research Leaders 9 (FFL-9) program from the Swedish Foundation for Strategic Research, offering four years of full-time doctoral study leading to a doctoral degree. Departmental duties, such as teaching and administration, may account for up to 20% of full-time employment and extend the study period accordingly. Eligibility requirements include a second-cycle (Master's) degree in a relevant natural science subject or equivalent qualifications, and proficiency in English (with TOEFL guidelines provided). Selection will prioritize candidates with documented experience in bioinformatics, Python programming, and glycobiology. The University of Gothenburg values diversity and equal conditions in the workplace. Applications must be submitted online by November 3, 2025. For further details, applicants can consult the Bojar lab website and the university's doctoral student pages.

The University of Gothenburg is seeking a doctoral student in Natural Science specialising in Biology to join the Department of Chemistry and Molecular Biology. The department is renowned for its high-quality research and education in chemical sciences and molecular life sciences, with a strong focus on understanding chemical and biological processes in cells and the environment. The successful candidate will join the Bojar group, which specializes in machine learning and systems glycobiology, and will be supervised by Dr. Daniel Bojar. The research project centers on developing new biochemical precision tools to monitor, enrich, and manipulate specific pools of glycans, providing new insights into subcellular trafficking and the functional relevance of glycosylation. The position involves experimental work, including culturing mammalian cells, transfection, fractionation, and measurement using flow cytometry, ELISA, glycomics, and more. The student will also use CRISPR-Cas9 and genetic engineering to create switches controlling glycosylation, and perform immunoprecipitation and enrichment for proteomics and glycoproteomics. Integration of experimental and computational methods is essential, and effective communication between these disciplines is encouraged. The Bojar group fosters interdisciplinary collaboration and encourages presenting research at international conferences and co-supervising undergraduate students. The position is fully funded by an ERC Starting Grant, with salaries set individually by the university. Doctoral studies are full-time for four years, with possible extension for departmental duties such as teaching, research, or administration. Eligibility requirements include a second-cycle (Master's) degree in a relevant natural science subject, or equivalent qualifications, and proficiency in English (minimum TOEFL scores specified). Selection will prioritize candidates with documented experience in working with mammalian cells and knowledge in glycobiology. The University of Gothenburg values diversity and equal conditions in the workplace. Applications must be submitted online by November 3, 2025. For more information, visit the Bojar lab website and the university's application portal.

The University of Gothenburg is offering a fully funded PhD position in Natural Science, specialising in Biology with a focus on Bioinformatics, at the Department of Chemistry and Molecular Biology. The department is renowned for its high-quality research and education in chemical and molecular life sciences, and is located in the vibrant academic environment of Natrium, Medicinareberget, Gothenburg. The successful candidate will join the Bojar group, which specializes in machine learning and systems glycobiology, and will be supervised by Dr. Daniel Bojar. The research will center on developing new AI models and data science techniques to enhance the processing and analysis of glycomics data, aiming to generate new functional insights into systems glycobiology. The project is highly interdisciplinary, integrating computational and experimental methods, and offers opportunities for both computational and wet-lab work. Key responsibilities include improving AI models for glycomics data analysis, extending bioinformatics workflows to identify glycan-derived biomarker candidates, and developing enrichment analyses for glycan-related data. The position encourages collaboration within and outside the group, participation in international conferences, and co-supervision of undergraduate students. The PhD is funded by the Future Research Leaders 9 (FFL-9) program from the Swedish Foundation for Strategic Research, and employment is for four years full-time, with the possibility of departmental duties (up to 20%) that may extend the duration. Applicants must have a second-cycle degree (Master's or equivalent) in a relevant natural science field, or at least 240 credits (with 60 at second-cycle level), or equivalent qualifications. Proficiency in English is required (e.g., TOEFL 550/213/79), and candidates should have documented experience in bioinformatics, Python programming, and glycobiology. Physical presence in Gothenburg is mandatory, and international applicants must secure a residence permit before starting. The application process requires submission of a personal letter, CV, diploma and transcripts, proof of English proficiency, and degree verification if applicable, all in PDF format. The deadline for applications is November 3, 2025. For more information about the Bojar group, visit their lab page. The University of Gothenburg values diversity and offers a supportive environment for international researchers and their families.