Ioanna Miliou

The Department of Computer and Systems Sciences (DSV) at Stockholm University is inviting applications for a fully funded PhD position in Data Science. This opportunity is ideal for candidates passionate about advanced data analytics, machine learning, and extracting insights from complex, longitudinal, and multimodal data, particularly with applications in healthcare. The successful candidate will join an internationally active research group focused on developing cutting-edge methods in data mining, machine learning, and temporal data analysis. The project emphasizes methodological work on extracting meaningful insights from large, complex datasets (both structured and unstructured), with a special focus on temporal and time-dependent analysis. Empirical evaluation will be conducted in real-world data contexts, especially in healthcare analytics. The Data Science Research Group at Stockholm University is renowned for its expertise in mining and model understanding from healthcare and medical data sources. The group also works on predictive maintenance, integrated vehicle management, financial data, environmental data, and data from immersive technologies such as virtual reality. A key research theme is explainable machine learning, aiming to make complex models interpretable and actionable for decision-makers. As a PhD student, you will benefit from strong academic support, including opportunities for conference travel, publications, and networking. The position is fully funded for up to 5 years, offering a competitive salary and benefits. The research environment is collaborative and supportive, with a focus on both methodological innovation and real-world impact. Applicants should have a strong background in data science, computer science, or a related field, with skills in advanced data analytics, machine learning, and handling complex datasets. Experience with temporal and multimodal data analysis is highly desirable. Proficiency in English is required. The application deadline is 15 April 2026. For more information about the research group, visit the Data Science Research Group page. To apply, use the application link provided. Join us at Stockholm University and contribute to impactful research in data science and healthcare analytics!

The Department of Computer and Systems Sciences (DSV) at Stockholm University is offering a PhD position focused on Data Science. DSV is a vibrant research and educational environment with over 200 employees and 4,500 students, bridging technology with humanities, social sciences, and behavioral sciences. The department is located at Stockholm University's campus in Kista, with plans to move to the main Frescati campus in the coming years. This PhD project addresses the challenges of extracting actionable insights from large-scale, heterogeneous, and dynamic datasets generated across domains such as healthcare, finance, transportation, and social media. The research will focus on advanced data mining and machine learning methods, particularly for temporal and time-dependent data. Key areas include data integration, real-time analytics, model scalability, interpretability, and the identification of meaningful patterns and predictive signals in evolving datasets. The project will build on ongoing research in machine learning for structured, semi-structured, and unstructured data, emphasizing interpretable and trustworthy data science. Empirical evaluation on real-world datasets is expected, contributing to both scientific understanding and practical relevance. The PhD student will join a strong national and international network, with opportunities for interdisciplinary collaboration, seminars, and scientific exchange within academia and industry. The position offers a competitive fixed salary for four years, wellness benefits, and funding for books, conference travel, and professional growth. Academic development is strongly supported. Applicants must meet both general and specific entry requirements. General requirements include a second-cycle degree or equivalent courses (at least 240 higher education credits, with 60 credits at the second cycle). Specific requirements are at least 60 higher education credits at second-cycle level in Computer and Systems Sciences or equivalent, and a degree project (thesis) of at least 15 credits. English language skills equivalent to CEFR Level B2 are required. Selection criteria include independence, problem formulation, methodological maturity, communication and cooperation skills, subject-specific knowledge, and proficiency in Swedish is considered a plus. The employment is full-time and fixed-term, corresponding to four years of doctoral education. The position may include up to 20% work in education, research, or administration. Employment is initially for one year and can be renewed for up to two years at a time. Stockholm University is committed to equal opportunities and a discrimination-free workplace. For further information, contact Associate Professor Tony Lindgren ([email protected]), Senior Lecturer Ioanna Miliou ([email protected]), or Director of PhD studies Åsa Smedberg ([email protected]). Apply via Stockholm University's recruitment system, attaching a personal letter, CV, and all requested documents. Ensure your application is complete and submitted before the deadline. Detailed instructions are available in the job advertisement. Stockholm University contributes to the development of a sustainable democratic society through knowledge, enlightenment, and the pursuit of truth.