Publisher
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Tony Lindgren

7 months ago

PhD student in Computer and Systems Sciences, with focus on Data Science Stockholm University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Sweden

University

Stockholm University

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Data Mining
Big Data
Interpretability
Statistics
Information Systems

About this position

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.

Funding details

Available

What's required

Applicants must have completed a second-cycle degree or courses equivalent to at least 240 higher education credits, with 60 credits at the second cycle, or equivalent knowledge. Specific entry requirements include 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 is based on independence, problem formulation, methodological maturity, communication and cooperation skills, subject-specific knowledge, and proficiency in Swedish is a plus.

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Professors

Associate Professor at Stockholm University

University Name
Country flag

Sweden

Research Interests

Statistics

Big Data

Data Science

Machine Learning

Computer Science

Senior Lecturer at Stockholm University

University Name
Country flag

Sweden

Research Interests

Biostatistics

Health Economics

Machine Learning

Data Mining

Data Science