Senior Lecturer in Computer and Systems Sciences, focusing on Data Science

Department of Computer and Systems Sciences
For more information about us, please visit: Department of Computer and Systems Sciences

Subject/subject description

Data Science involves using scientific methods, processes, and algorithms to extract insights and knowledge from data. It combines fields such as statistics, data processing, and machine learning to analyze large datasets and solve complex problems. The goal is to make data-driven decisions and create value by understanding patterns and trends in the information.

Main responsibilities

The main duties are research, teaching, course development, course responsibility and supervision primarily for courses within Data Science and Machine Learning. The applicant is expected to strengthen the theoretical foundations and practical relevance of the courses.

As part of the Data Science research group, the applicant is expected to strengthen the group's theoretical and practical relevance, especially regarding algorithmic methods of machine learning and their applications. This includes, for example, machine learning explainability, machine learning foundations, time series analysis, graph mining, and large language models. Application areas include health, predictive maintenance and telecommunications.

The employment is shared between research and teaching according to the current collective agreement.

Qualification requirements

Eligible applicants for the position of Senior Lecturer should hold a PhD in Computer and Systems Sciences, focusing on Data Science, or have equivalent research skills, and have demonstrated teaching expertise.

The applicant must possess English language skills in speech and writing at a professional level. It can be demonstrated by for example documented experience of teaching in English.

The applicant must have the ability to cooperate with colleagues as well as other abilities that are required in order successfully to meet the demands of the position.

Assessment criteria

Special and equal emphasis will be placed on teaching and research skills. Research skills are demonstrated through the applicant’s research.

Teaching proficiency is demonstrated through supervision and teaching experience at the undergraduate and master’s levels. Teaching expertise should be well-documented in a manner that makes it possible to assess the quality of the teaching activities.

Strong emphasis will be placed on a detailed research plan.

Strong emphasis will be placed on a documented ability to cooperate well with colleagues and fellow researchers.

Emphasis will be placed on having successfully planned, applied for and obtained research project funds from external research funding bodies.

Emphasis will be placed on having a well-documented international academic profile, demonstrated through active international research collaborations and experience in international academic environments (e.g., joint projects, visiting positions, or participation in international networks and conferences).

Emphasis will be placed on administrative skills and proven collaboration with the surrounding society, and dissemination of research and development findings.

It is a merit to have completed at least 7.5 higher education credits in teaching and learning in higher education or have otherwise acquired equivalent knowledge.

About the employment

This position (in Swedish, “universitetslektor”) is full-time, indefinite-term employment, with a six-month probationary period.

The employment includes time for competence development and research according to the current terms and conditions of the collective agreement.

An applicant who does not have at least 15 higher education credits in teaching and learning in higher education, and is not deemed to have acquired equivalent knowledge, must complete such training within the first two years of employment.

Additional information

Proficiency in Swedish is not a requirement at the time of appointment, but the candidate should be prepared to carry out teaching and administrative duties that require proficiency in Swedish within two years of employment.

The Faculty of Social Sciences strives for a gender balance; women are therefore encouraged to apply for this position.

We offer

With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact

Further information about the position can be obtained from the Head of the Department, Jelena Zdravkovic, tfn +46 8-164994, jelenaz@dsv.su.se, or the head of the Data Science group, Panagiotis Papapetrou, tfn +46 8-161697, panagiotis@dsv.su.se.

For questions regarding the application process, please contact administrator Johanna Koivunen, phone +46 8 12706838, johanna.koivunen@su.se.

Application

Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the University’s instructions, and that it is submitted before the deadline.

We would appreciate it if your application is written in English. Since it will be examined by international experts, English is the working language.

Teaching positions: Instruction and application template.
The University’s rules of employment and instructions for applicants are available at: How to apply for a position.