PhD Student in Machine Learning

Uppsala Universitet · plný úvazek

Regementsvägen 10, Uppsala, Švédsko

Please note that this is a shortened version of the job listing. To see the full listing, please click on "Apply here" or visit Uppsala University's website for job openings: https://www.uu.se/om-uu/jobba-hos-oss/lediga-jobb Are you interested in probability theory, statistics, and mathematical modeling? Do you want to develop new methods for uncertainty quantification and apply these methods to large-scale clinical cancer data? Are you looking for an employer that invests in sustainable employee relationships and offers secure, favorable working conditions? You are welcome to apply for a position as a PhD student at the Department of Information Technology at Uppsala University. About the DDLS Research Program The PhD position is part of the national research program DDLS. Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels – from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) aim to recruit and educate the next generation of data-driven life science researchers and to create globally leading expertise in computational and data science in Sweden. The program is funded with a total of 3.3 billion kronor over 12 years by the Knut and Alice Wallenberg Foundation (KAW). In 2026, the DDLS research school will expand by recruiting 25 academic and 7 industry PhD students. During the program, more than 260 PhD students and 200 postdoctoral researchers will be part of the research school. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biological diversity, precision medicine and diagnostics, and epidemiology and infectious disease biology. For more information, see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Do you want to be part of this transformation? Then you are welcome to participate in this unique program! Uppsala University is now announcing a PhD position within DDLS with a focus on data-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics encompass data integration, analysis, visualization, and interpretation of data for patient stratification, discovery of biomarkers for disease risk, diagnostics, drug response, and health monitoring. Research in precision medicine is expected to utilize existing strong resources in Sweden and internationally, such as molecular data (e.g., omics data), imaging data, electronic health records, longitudinal patient and population registers, and biobanks. Project Description Data-driven mathematical and statistical models are increasingly used in life science research and healthcare. Quantifying the uncertainty in these models is crucial for understanding their reliability and for making well-founded decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models. The methods will be applied to large-scale clinical cancer data. A key application will be to quantify the uncertainty in information extracted from medical reports and to propagate this uncertainty into probabilistic models that predict time to event. Work Tasks The PhD student will primarily focus on their own research education. Other duties at the department, such as teaching and administrative work, may be included within the scope of employment (max 20%). Qualification Requirements Basic eligibility for studies at the research level is held by those who: have completed a degree at advanced level in applied mathematics, applied statistics, engineering physics, physics, machine learning, or in a similar field, or have completed at least 240 higher education credits, of which at least 60 higher education credits at advanced level including an independent work of at least 15 higher education credits, or in some other way within or outside the country have acquired essentially equivalent knowledge. The university may grant an exception to the basic eligibility requirement for an individual applicant if there are special reasons. (7 chap. 39 § HF). For special eligibility requirements, see the study plan for the subject. We are seeking candidates with: strong knowledge of linear algebra, probability theory, and analysis good programming skills interest in method development within applied mathematics and statistics good communication skills and sufficient knowledge of English in speech and writing creativity, precision, and a structured approach to problem-solving Desirable/Meriting Experience Experience in one or more of the following areas is meriting: Bayesian statistics, mathematical modeling, statistical machine learning. Regulations for PhD students can be found in the Higher Education Ordinance 5 chap §§ 1-7 and in the university's rules and guidelines. Application The application should contain: a personal letter (maximum 1 page) where you explain how you meet the qualifications, explain why you are applying for this position, and your estimated earliest start date; a curriculum vitae (CV); diplomas and transcripts with grades (translated into English or Swedish); a thesis report (or draft thereof, and/or other self-produced technical or scientific text), publications, and other relevant documents; references with contact information (name, email, and telephone number) and up to two letters of recommendation. About the Position The position is time-limited, according to HF 5 chap § 7. Full-time employment. Start date: November 15, 2026, or by agreement. Location: Uppsala. Information about the position is provided by: Assistant University Lecturer Sara Hamis, email: [email protected]. Welcome to submit your application no later than October 16, 2026, UFV-PA 2026/2836.