PhD student in Computer Science (Data Management)

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

The Department of Information Technology conducts education and research in Computer Science and Information Technology. We cover a wide range of issues, from construction of computer systems, via programming of computers, storage and handling of data, to information retrieval and methods for applying computers in a variety of contexts.

This PhD position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational methodological perspective and from the perspective of data-driven science applications. It is an arena where experts in computational science, data science and data engineering (systems and methodology) work closely together with researchers in (data-driven) sciences, industry and society to accelerate data-intensive scientific discovery.

eSSENCE is a strategic collaborative research programme in e-science between three Swedish universities with a strong tradition of excellent e-science research: Uppsala University, Lund University and Umeå University.

SciLifeLab also participates in this graduate school. SciLifeLab is a leading institution and national research infrastructure with a mandate to enable cutting-edge life sciences research in Sweden, foster international collaborations, and attract and retain knowledge and talent.

Job duties and project description
The PhD student will work under the main supervision of Dr. Georgios Fakas. The project will investigate data management topics including (but not limited to) (1) big data and (2) data mining and machine learning. The project will deal with a variety of data including (1) spatial data, (2) critical minerals data, etc. The precise details about the project will be defined also based on the student’s knowledge and interests.

The main duties of PhD students are to devote themselves to their research studies, which include participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (not more than 20 % of full time).

Requirements
To meet the entry requirements for doctoral studies, you must

• hold a Master’s (second-cycle) degree in computer science or related areas relevant to the PhD topics, or
• have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
• have acquired substantially equivalent knowledge in some other way.

Additional qualifications
Good programming and algorithmic skills are required. Expertise in data management, data mining and machine learning is meriting. Good communication skills in English, both spoken and written, are required.

How to apply 
The application should include a letter describing the applicant’s motivation for applying for this PhD position. More precisely, how applicant’s research interests are related to the above topics (i.e. data management, big data, machine learning, etc.) and how applicant’s qualifications meet the required and meriting qualifications (e.g. programming skills, algorithmic skills, expertise in data engineering, expertise in data mining, skills in oral and written English). The application should also include a CV, degrees and grades, MSc thesis and other relevant documents, and contact information to reference persons. We would also like to know preferences and constraints about the starting date. 

For special entry requirements, please see the subject’s general study syllabus.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date during spring 2025 or as agreed. Placement: Uppsala.

For further information about the position, please contact: Dr. Georgios Fakas, georgios.fakas@it.uu.se.

Please submit your application by 2 January 2025, UFV-PA 2024/3936.

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