Senior Lecturer in Data Science (University of Gothenburg)

Reference number PAR 2025/335 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The Department of Computer Science and Engineering is strongly international, with approximately 300 employees from over 50 countries. The Department is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principles. The Department of Computer Science and Engineering is now looking for a senior lecturer with a focus on research and teaching with University of Gothenburg as employer. The candidate will work within Data Science and AI division (DSAI), with around 20 faculty members and 50 PhD students and postdocs. Research at the division DSAI ranges from foundational methods in algorithms, data science, and machine learning (e.g., optimization, bandits and reinforcement learning) and their connections to domains, especially natural language processing, natural and life sciences, and medical/clinical/pharmaceutical applications (having close collaborations with Sahlgrenska University Hospital and AstraZeneca). The division is multi-disciplinary in character and has strong international collaborations. We seek passionate applicants dedicated to advancing both research and teaching, and to fostering the synergy between the two. You will contribute to the DSAI division’s teaching mission by instructing courses at the undergraduate and graduate levels, while pursuing innovative research independently and collaboratively with colleagues across the division. The department welcomes applicants with diverse backgrounds and experience. We actively embrace the opportunities that diversity and gender balance would add to the organization. We are a parent-friendly organization and work hard to ensure a good balance between work and private life for our employees. The successful candidate will join a dynamic team committed to academic excellence and interdisciplinary growth. Subject area Data science and AI Subject area description We are looking for candidates in all areas of modern AI/ML, data science and algorithms. Of particular interest are the following two domains (other application domains are not excluded): Computational biology (techniques to deal with large omics data sets, especially machine learning and algorithmic methods tailored to recent advances in single cell measurements) Natural language processing (particularly interesting areas include interpretability, structured data, neurosymbolic methods, multimodality, and recent advances such as reasoning models) Duties We offer a position with an emphasis on research and education. We are looking for someone who can significantly contribute to the department's ambition to provide research and education at high international level. You will carry out research in your area of specialization and apply for research grants. You will supervise PhD students in this research area. You will be encouraged to develop your own research agenda in collaboration with our strong teams and complement existing research. You will teach at the courses and programs given by the DSAI division. You will develop these courses pedagogically. You will be encouraged to participate in the planning and development of the division’s master’s programs and corresponding courses. You will supervise thesis projects at the bachelor's and master’s levels. You are encouraged to engage with society, for example through collaborative projects and popular science activities. Eligibility The eligibility criteria for employing teaching staff are set out in Chapter 4 of the Higher Education Ordinance and in the Appointment Procedure for Teaching Posts at the University of Gothenburg. To be eligible for appointment as a senior lecturer, other than within disciplines in the fine, applied or performing arts, the applicant is required to have demonstrated teaching expertise and been awarded a PhD or has the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the post and the duties that it will involve. You hold a doctoral degree in data science and AI or an equivalent field. Assessment criteria Applications will primarily be assessed based on scientific and teaching qualifications and potential related to the areas related to this position. Deep knowledge of the topic of data science and AI is required, and you must have demonstrated ability to teach courses in this area. The candidate is expected to be deeply involved in state of the art research, since our research and teaching aims to be well connected with the research frontier. When assessing scientific competence, special attention is paid to research documented through high-quality publications. A documented ability to initiate, plan and implement research after the doctoral degree, international scientific collaboration, and ability to obtain research funding in competition are meritorious. Ability to teach in Data Science/AI and related areas at the university level should be documented. Experience and familiarity with course development and/or program management are meritorious. Supervision at all levels is considered an asset. You must be very comfortable with spoken and written English. Proficiency in Swedish is considered meritorious. Practical and industrial experience in the field is meritorious. Courses in higher education teaching and learning of at least 15 credits or equivalent are considered as a merit. If this is lacking at the time of employment, the employee is expected to acquire such an education later. After a weighted assessment of merits and development potential in all areas, we will select the candidate that is judged to have the best qualifications to carry out the tasks included in the employment, independently and in collaboration with other staff members, and contribute to a positive development of the department and work environment. Employment Type of employment: Permanent position Extent: 100% of full time Location: Department of Computer science and engineering, division of Data science and AI First day of employment: 2025-12-01 or upon agreement Selection process In addition to external expert reviews, interviews, trial lectures and references can be a part of the following recruitment process. Contact information If you have any questions about the position, please contact Head of division Gerardo Schneider gerardo.schneider@gu.se If you have any questions about the recruitment process, please contact Human resources officer Sanna Staf sanna.staf@cse.gu.se Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline. We would like your application to be written in English as it may be reviewed by international experts with English as the working language. The following documents are to be attached: Resumé/CV and data. Degrees and diplomas, certificates, or other documents. Letter of intent of maximum one A4 page, where you briefly introduce yourself. Presentation of scientific merits containing a list of the (maximum) 5 scientific papers cited, justification for the selection and concise statement of its own scientific activities. Research plan (1-3 pages) where you state what you want to do in terms of research in the next 3-5 years. Pedagogical portfolio (1-3 pages), where you provide your educational credentials describing educational training, a list of (maximum) 5 pedagogic / teaching materials and a concise statement of educational activities and reflection. Provide qualitative reviews, course evaluations or equivalent. Summary of leadership and administrative qualifications and cooperation merits. References. Applications must be received by: 2025-08-15  Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit: https://www.gu.se/en/about-the-university/welcome-services https://www.movetogothenburg.com/ The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations. Salaries are set individually at the University. In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed. In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies. If you apply for this position please say you saw it on Academicoxy

Reference number PAR 2025/335

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Department of Computer Science and Engineering is strongly international, with approximately 300 employees from over 50 countries. The Department is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principles. The Department of Computer Science and Engineering is now looking for a senior lecturer with a focus on research and teaching with University of Gothenburg as employer.

The candidate will work within Data Science and AI division (DSAI), with around 20 faculty members and 50 PhD students and postdocs. Research at the division DSAI ranges from foundational methods in algorithms, data science, and machine learning (e.g., optimization, bandits and reinforcement learning) and their connections to domains, especially natural language processing, natural and life sciences, and medical/clinical/pharmaceutical applications (having close collaborations with Sahlgrenska University Hospital and AstraZeneca). The division is multi-disciplinary in character and has strong international collaborations.

We seek passionate applicants dedicated to advancing both research and teaching, and to fostering the synergy between the two. You will contribute to the DSAI division’s teaching mission by instructing courses at the undergraduate and graduate levels, while pursuing innovative research independently and collaboratively with colleagues across the division.

The department welcomes applicants with diverse backgrounds and experience. We actively embrace the opportunities that diversity and gender balance would add to the organization. We are a parent-friendly organization and work hard to ensure a good balance between work and private life for our employees. The successful candidate will join a dynamic team committed to academic excellence and interdisciplinary growth.

Subject area

Data science and AI

Subject area description

We are looking for candidates in all areas of modern AI/ML, data science and algorithms. Of particular interest are the following two domains (other application domains are not excluded):

Computational biology (techniques to deal with large omics data sets, especially machine learning and algorithmic methods tailored to recent advances in single cell measurements)
Natural language processing (particularly interesting areas include interpretability, structured data, neurosymbolic methods, multimodality, and recent advances such as reasoning models)

Duties

We offer a position with an emphasis on research and education. We are looking for someone who can significantly contribute to the department's ambition to provide research and education at high international level.

You will carry out research in your area of specialization and apply for research grants.
You will supervise PhD students in this research area.
You will be encouraged to develop your own research agenda in collaboration with our strong teams and complement existing research.
You will teach at the courses and programs given by the DSAI division. You will develop these courses pedagogically.
You will be encouraged to participate in the planning and development of the division’s master’s programs and corresponding courses.
You will supervise thesis projects at the bachelor's and master’s levels.
You are encouraged to engage with society, for example through collaborative projects and popular science activities.

Eligibility

The eligibility criteria for employing teaching staff are set out in Chapter 4 of the Higher Education Ordinance and in the Appointment Procedure for Teaching Posts at the University of Gothenburg.

To be eligible for appointment as a senior lecturer, other than within disciplines in the fine, applied or performing arts, the applicant is required to have demonstrated teaching expertise and been awarded a PhD or has the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the post and the duties that it will involve. You hold a doctoral degree in data science and AI or an equivalent field.

Assessment criteria

Applications will primarily be assessed based on scientific and teaching qualifications and potential related to the areas related to this position.

Deep knowledge of the topic of data science and AI is required, and you must have demonstrated ability to teach courses in this area.

The candidate is expected to be deeply involved in state of the art research, since our research and teaching aims to be well connected with the research frontier. When assessing scientific competence, special attention is paid to research documented through high-quality publications. A documented ability to initiate, plan and implement research after the doctoral degree, international scientific collaboration, and ability to obtain research funding in competition are meritorious.

Ability to teach in Data Science/AI and related areas at the university level should be documented. Experience and familiarity with course development and/or program management are meritorious. Supervision at all levels is considered an asset.

You must be very comfortable with spoken and written English. Proficiency in Swedish is considered meritorious.

Practical and industrial experience in the field is meritorious.

Courses in higher education teaching and learning of at least 15 credits or equivalent are considered as a merit. If this is lacking at the time of employment, the employee is expected to acquire such an education later.

After a weighted assessment of merits and development potential in all areas, we will select the candidate that is judged to have the best qualifications to carry out the tasks included in the employment, independently and in collaboration with other staff members, and contribute to a positive development of the department and work environment.

Employment

Type of employment: Permanent position
Extent: 100% of full time
Location: Department of Computer science and engineering, division of Data science and AI
First day of employment: 2025-12-01 or upon agreement

Selection process

In addition to external expert reviews, interviews, trial lectures and references can be a part of the following recruitment process.

Contact information

If you have any questions about the position, please contact Head of division Gerardo Schneider gerardo.schneider@gu.se
If you have any questions about the recruitment process, please contact Human resources officer Sanna Staf sanna.staf@cse.gu.se

Unions

Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande

Application

Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline.

We would like your application to be written in English as it may be reviewed by international experts with English as the working language.

The following documents are to be attached:

Resumé/CV and data.
Degrees and diplomas, certificates, or other documents.
Letter of intent of maximum one A4 page, where you briefly introduce yourself.
Presentation of scientific merits containing a list of the (maximum) 5 scientific papers cited, justification for the selection and concise statement of its own scientific activities.
Research plan (1-3 pages) where you state what you want to do in terms of research in the next 3-5 years.
Pedagogical portfolio (1-3 pages), where you provide your educational credentials describing educational training, a list of (maximum) 5 pedagogic / teaching materials and a concise statement of educational activities and reflection. Provide qualitative reviews, course evaluations or equivalent.
Summary of leadership and administrative qualifications and cooperation merits.
References.

Applications must be received by: 2025-08-15 

Information for International Applicants

Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:

https://www.gu.se/en/about-the-university/welcome-services
https://www.movetogothenburg.com/

The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.

Salaries are set individually at the University.

In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.

If you apply for this position please say you saw it on Academicoxy

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