Studielektor søges til undervisning, udvikling og ledelse af EVU-aktiviteter ved Institut for Datalogi, Aarhus Universitet
Østjylland
- Location
- Østjylland
- Company
- Aarhus Universitet
- Working hours
- Full-time
- Posted
- 2 October 2026
- Category
- Data scientist
About the job
Ansøgningsfrist 29. okt. 23:59 CET
Forventet start 1. dec.
- Institut for Datalogi Åbogade 34 8200 Aarhus N
- Fuldtidsstilling ID: 169843
Søg stillingen
Institut for Datalogi ved Aarhus Universitet opslår et studielektorat til besættelse pr. 1. december 2026 eller snarest muligt derefter. Studielektoren skal have formel uddannelse i datalogi samt erfaring med at undervise i datalogiske emner. Forskningserfaring vil være en fordel, ligeledes vil erfaring med at undervise ikke-dataloger, som for eksempel studerende fra andre naturvidenskabelige fagområder eller gymnasielærere på efteruddannelse. Studielektoren skal undervise i grundlæggende datalogiske discipliner, som ikke forudsætter nyeste forskning.
Stillingsindhold
Studielektoren skal tilrettelægge og gennemføre introducerende undervisning på vores centrale efter- og videreuddannelsesaktiviteter. Studielektoren skal også kunne tilrettelægge og gennemføre de til kurserne hørende eksaminer og andre evalueringer. Studielektoren forventes derudover at skulle bruge op til 50% af sin tid på uddannelsesudvikling og -ledelsesopgaver for både eksisterende og nye tiltag indenfor EVU og intern uddannelse af medarbejdere på AU i AI og Cybersikkerhed.
Kvalifikationskrav
Ansøgere med en Ph.D.-grad i datalogi vil blive foretrukket. Ansøgere skal fremsende oplysninger om tidligere undervisningserfaring og pædagogiske kvalifikationer samt eventuelle forskningserfaringer efter Ph.D.-grad. Ved besættelse af stillingen lægges der vægt på, at ansøgeren har undervisningsmæssige kvalifikationer, der svarer til, hvad der kan kræves for ansættelse som lektor.
Ansøgningen skal indeholde følgende bilag
Ansøgningsbrev (max to sider), CV, dokumentation for uddannelse (kandidatbevis/Ph.d.-bevis) og undervisningsportfolio.
Yderligere oplysninger om stillingen kan fås hos institutleder, professor Kaj Grønbæk e-mail
Om Datalogi ved Aarhus Universitet
Institut for Datalogi, ved Aarhus Universitet er placeret i IT-byen Katrinebjerg, hvor mange institutioner og virksomheder, der arbejder med digitale teknologier, holder til. Instituttet har ca. 175 ansatte, herunder 19 professorer 21 lektorer, 10 adjunkter, 1 studielektor, 30+ postdocs.
og 70+ ph.d.-studerende samt 20 teknisk administrative medarbejdere (TAP). Antallet af studerende er cirka 800, inklusiv EVU-aktiviteterne.
Læs mere om Institut for Datalogi på www.cs.au.dk.
Ansøgningsfrist
Alle ansøgninger skal være modtaget senest 29. oktober 2026.
Application procedure
Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the assessment committee if necessary, – the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement.
All applicants will be notified within 6 weeks whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment.
Formalities and salary range
Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.
Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions at basic salary step 8.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development.
Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.
Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Spørgsmål til stillingen ?
Kaj Grønbæk Institutleder, Institut for Datalogi +4521495634 e-mail
Spørgsmål til ansøgning og proces ?
Administrationscenter Nat-Tech - Nat-Tech HR +4593522463 e-mail
Søg stillingen Ansøgningsfrist: torsdag den 29. okt. 2026 kl. 23:59 CET
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Studielektor søges til undervisning, udvikling og ledelse af EVU-aktiviteter ved Institut for Datalogi, Aarhus Universitet
Aarhus Universitet · Østjylland