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Department of Public Health, Email:

samir.bhatt@sund.ku.dk Co-supervisor is

Dr Harrison Bo Hua Zhu, Department of Public Health Email:

harrison.zhu@sund.ku.dk Co-supervisor is

Dr Neil Scheidwasser, Department of Public Health Email:

neil.clow@sund.ku.dk

Start:

1 September or soon after

Duration:

3 years as a PhD student [+ 3 months as research assistant for enrolment, if relevant] Job description Your key tasks as a PhD student will be to: Carry out an independent research project under supervision. Develop new AI methods and software systems relevant to GPAP. Implement, evaluate, and document research prototypes and platform-facing tools. Publish scientific papers in high-quality international venues. Complete PhD courses or other equivalent education corresponding to approximately 30 ECTS credits. Participate in active research environments, including a stay at another research institution. Contribute to teaching, supervision, or other forms of knowledge dissemination related to the PhD project. Write and defend a PhD thesis based on the project. Key criteria for the assessment of applicants Applicants must have qualifications corresponding to a master's degree related to the subject area of the project, e.g. data science, statistics, economics, computer science, computational linguistics, or a related quantitative discipline. Please note that your master's degree must be equivalent to a Danish master's degree (two years). In addition, the following will be considered: Essential experience and skills: A strong academic background in computer science, machine learning, applied statistics or a closely related field. Practical experience with AI systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience with Git and modern deep learning frameworks (PyTorch/Jax/TensorFlow) Ability to work independently and in collaboration with researchers, engineers, and domain experts. Strong motivation to conduct internationally competitive research and translate methods into working software. Excellent written and spoken English.

Desirable experience and skills:

Experience with large language model pre/mid/post-training (e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows. Experience with development of Triton or CUDA kernels. Experience with distributed training and LLM infrastructure (e.g. Ray, TRL, vLLM, Triton, DeepSpeed, Unsloth, VeRL) and MLOps tooling (MLflow, Weights & Biases) Publications, open-source contributions, research software, or other documented outputs relevant to the project. Experience with AI for Science, computational biology, pathogen genomics, phylogenetics, epidemiology, or bioinformatics workflows. Place of employment The place of employment is at the Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and high-performance computing infrastructure with GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is conditioned upon the applicant's successful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant during an initial three-month employment as a research assistant. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty's rules on achieving the degree. Salary, pension, and terms of employment are in accordance with the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary starts at approximately 31,600 DKK / 4,200 EUR plus pension. Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD studies at the Faculty of Health and Medical Sciences is available at the Graduate School's website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking 'Apply now' below. The application must include the following documents in PDF format: Motivated letter of application (max. one page) CV incl. education, experience, language skills and other skills relevant for the position Certified copy of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in other language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. As a prerequisite for a PhD fellowship employment, your master's degree must be equivalent to a Danish master's degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science Publication list (if possible) Application deadline: 8 July 2026, 23.59 (CET) We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You find information about the recruitment process here . The applicants will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation - with good working conditions and a collaborative work culture - creates the ideal framework for a successful academic career.

Info Application deadline:

08-07-2026 Employment start: 01-09-2026 Working hours: Full time

Department/Location:

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PhD fellowship in Agentic AI and Large Language Models for Global Pathogen Analysis