Ricardo J. G. B. Campello

The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, is offering a fully funded PhD position in Computer Science, with a focus on data mining and machine learning for computational biology. This opportunity is supported by a major research grant from the Novo Nordisk Foundation and is situated within the Data Science & Statistics section of the department. The successful candidate will work under the primary supervision of Professor Ricardo J. G. B. Campello and will collaborate closely with other PhD students, postdoctoral researchers, and international partners, particularly the Institute for Computational Genomics at RWTH Aachen University, Germany. The project may involve research visits to Aachen, fostering a dynamic and international research environment. Research activities will center on developing advanced algorithms and methods for analyzing very high-dimensional datasets, typical in computational biology and bioinformatics. The work will include algorithm development, model selection (potentially with visual aids), integration of domain knowledge into general algorithms, and extensive benchmarking using both synthetic and real-world datasets. The candidate will also contribute to the development of software tools for public distribution, compatible with popular data analysis packages. Eligibility: Applicants must have (or be about to complete) a Master’s degree in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or a closely related field. Essential skills include advanced programming and fluency in English. Desirable qualifications are fluency in Python, experience in algorithm design, machine learning, data analysis, and biological data analysis. Candidates nearing MSc completion should provide a supervisor’s statement regarding their expected graduation. The position is fully funded for three years, with a competitive salary and follows the PhD study program at the Faculty of Science. The anticipated start date is February 2026, with some flexibility possible. The application deadline is 14 December 2025 (23:59 Danish time). For full details and application instructions, visit www.sdu.dk or the Nature Careers posting .

The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, is offering a fully funded PhD position in Computer Science, supported by the Novo Nordisk Foundation. The successful candidate will join the Data Science & Statistics section and work under the primary supervision of Professor Ricardo J. G. B. Campello. The project is a collaborative effort with the Institute for Computational Genomics at RWTH Aachen University, Germany, and may include research visits to Aachen. This PhD project focuses on advancing research in data mining and machine learning, with direct applications in computational biology and bioinformatics. Key research areas include developing specialized algorithms for high-dimensional datasets, creating methods for automatic or visually aided model selection, integrating domain knowledge into algorithms, and performing extensive experimental benchmarking. The candidate will also develop software tools compatible with popular data analysis packages for public distribution. Eligibility requires a relevant Master’s degree (or imminent completion) in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or a related field. Applicants must demonstrate advanced programming skills and fluency in English. Desirable qualifications include proficiency in Python, experience in algorithm design, machine learning, data analysis, and biological data analysis. MSc candidates nearing completion should provide a supervisor’s statement regarding graduation. The position is fully funded for three years, offering a competitive salary and full tuition coverage. The appointment follows the PhD study program at the Faculty of Science. The university encourages applications from all qualified candidates, reflecting the diversity of society. Applications must be submitted in English via the provided electronic link. Required documents include a motivation letter (max two pages), detailed CV, copies of diplomas and transcripts, and contact details for at least two referees. All documents should be in PDF format and attached as three separate files. Applicants are advised to read the 'How to apply for a position at SDU' guidelines before submitting their application. The application deadline is December 14, 2025. For further information, contact Professor Ricardo Campello at [email protected]. International applicants are encouraged to visit 'Work in Denmark' and the International Staff Office at SDU for guidance on relocating and working in Denmark.