Associate Professor or Associate Professor on the promotion programme within Digital Learning and Education

Associate Professor or Associate Professor on the promotion programme within Digital Learning and Educatiuon
Department of Computer Science
Faculty of Science
University of Copenhagen
The Department of Computer Science at the University of Copenhagen invites applications for a position as Associate Professor in Digital Learning and Education. The position is to be filled by 1 June 2025 or as soon as possible thereafter, subject to negotiation.

It is a high priority at the Department of Computer Science to foster a research environment of highest excellence allowing people from diverse backgrounds to thrive. The researcher will join a rapidly growing department, with strong research sections in the areas of Algorithms, Complexity, Machine Learning, Natural Language Processing, Information Retrieval, Image and Medical Image Analysis, Bioinformatics, Human-Centered Computing, Software Engineering and Data Management, Programming Languages, Artificial Intelligence and other areas of computer science.

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. The university is often listed as the best university in Scandinavia and is ranked number 2 in the European Union according to the Academic Ranking of World Universities (ARWU) 2023

The Department of Computer Science offers a friendly and thriving international research and working environment with opportunities to build up internationally competitive research groups. There are good opportunities available to apply for research funding in order to establish oneself in Denmark. The Department of Computer Science has an experienced research support unit that offers mentoring and assistance when applying for funding. Further information on start packages and recruitment grants offered by Danish private and public foundations is available at https://science.ku.dk/english/research/experienced-researchers/.

Copenhagen is one of the 10 most livable cities in the world with a rich culture within music, theater and associations (https://www.visitcopenhagen.com). Life for families is made easy by a publicly supported daycare and health care system, dual career opportunities, maternity/parental leave and six weeks of annual vacation. International candidates may find information on living and working in Denmark at www.workindenmark.dk. Useful information is also available at The International Staff Mobility office (ISM) at the University of Copenhagen (https://ism.ku.dk). ISM offers a variety of services to international researchers coming to and working at the University of Copenhagen.

Description of the position
We are looking for an outstanding, experienced researcher with an innovative mindset and intellectual curiosity to strengthen and complement the department's research profile within Digital Learning and Education. We look for candidates with specialized knowledge about learning analytics for higher and secondary education, digital education, and digital transformation of educational institutions. Additional research areas include but are not limited to theoretical and technological aspects of learning analytics; quantitative and qualitative research methods; practical applications such as dashboards and feedback systems; institutional analytics, human factors, and concerns in relation to fairness or ethics. Candidates are expected to publish in premier venues within technology-enhanced learning, including but not limited to Learning Analytics and Knowledge, Artificial Intelligence and Education, Journal of Learning Analytics, British Journal of Educational Technologies, and Computers and Human Behaviour.

The position is affiliated with the Center for Digital Education which is a joint effort between Department of Science Education and Department of Computer Science, which aims at connecting experts from computer science and science education to explore the possibilities and consequences of the digitalization of STEM education across the school system. The Associate Professor will be employed at the Department of Computer Science but some obligations related to the position may be shared among the Department of Computer Science and the Department of Science Education.

Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research fellows and other staff. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department.

Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.

Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. Managerial and out-reach qualifications of applicants including ability to attract external funding will also be considered.

Six overall criteria apply for associate professor appointments at the University of Copenhagen. The six criteria (research, teaching, societal impact, organisational contribution, external funding and leadership) are considered a framework for an overall assessment of the candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement. Please read more at https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/dokumenter-til-meritering/5b_Criteria_for_recognising_merit_-Associate_professors.pdf .

Associate Professor on the promotion programme
The University of Copenhagen offers particularly talented associate professors employment with the possibility to enter into a promotion programme that can lead to employment as a professor.​ To be employed as an associate professor on the promotion programme, the candidate must both qualify to work as an associate professor now and demonstrate the potential to transition into a position as a professor at the end of the programme. Both will be assessed based on the UCHP criteria for merit.

An associate professor is usually on the promotion programme for a minimum of 2 years and a maximum of 8 years. During the programme, there will be annual interviews with the head of department to assess if the associate professor is “on track”. The programme ends with a final assessment before transitioning to professorship.

Learn more about the UCPH promotion programme here.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement, and relocation expenses, is possible. Note that Denmark protects the economic, social, and physical well-being of its workers, which includes robust health care, child care, elder care, and other generous benefits. Thus, direct salary comparisons across nations are typically not meaningful. Furthermore, unlike some north American universities, University of Copenhagen appointments are 12 months in duration and thus require no need for faculty to procure summer funding.

Further information
For more information about the Department of Computer Science, please visit our website https://di.ku.dk/english/

Inquiries about the position can be made to Professor Morten Misfeldt (misfeldt @ di.ku.dk) or Head of Department, Professor Jakob Grue Simonsen ([email protected]).

Filing of application
The position may be applied for as Associate Professor or Associate Professor on the promotion programme. Please note that it is possible to apply for both positions. If you apply for more than one position, please submit separate applications (see below).

The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

If you are applying for the associate professorship, please include

• Curriculum vitae including information about external funding
• Diplomas (Master and PhD degree or equivalent)
• Research plan – description of current and future research plans
• Description and documentation of teaching experience and qualifications according to university guidelines
• Complete publication list
• Separate reprints of 5 particularly relevant papers

If you are applying for the associate professorship on the promotion programme, please include

• Curriculum vitae including information about external funding
• Diplomas (Master and PhD degree or equivalent)
• Research plan – description of current and future research plans
• Description and documentation of teaching experience and qualifications according to university guidelines
• Complete publication list
• Separate reprints of 5 particularly relevant papers

The deadline for applications is 8 September 2024, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Interviews/trial lectures will be held on 20 January 2025

Please refer to the following numbers in future communication in this case:

• Associate Professor within Digital Learning and Education 211-0609/24-2E
• Associate Professor on the Promotion Programme within Digital Learning and Education 211-0003/24-2EA

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 08-09-2024

Ansættelsesdato: 01-06-2025

Arbejdstid: Fuldtid

Afdeling/Sted: Department of Computer Science