Assistant/Associate Professor Positions in Computer Science with Focus on Data Science and Advanced Machine Learning
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Odense M
The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU) invites applicants for one or more positions in Computer Science on assistant professor and/or associate professor levels with a focus on Data Science and Advanced Machine Learning. The expected starting date is mid 2024, with room for flexibility.
The department’s current research in data science covers a wide range of areas and topics that include machine learning, optimization, visualization, data mining, bioinformatics, and explainable AI. We are involved in a range of basic and applied research projects and collaborations with public and private institutions, both nationally and internationally. Applications include biomedical and health areas, humanities, and social sciences, among others. We are looking for new colleagues who can strengthen or add to our competences in these or other directions, and who can contribute to the department’s strategic development in data science, artificial intelligence, and related topics. We are particularly, but not exclusively, interested in candidates with competence in advanced machine learning (including topics such as NLP, deep learning, and computer vision).
Who we are looking for
An ideal candidate:
• holds a PhD degree in computer science or equivalent
• has a research track record at a high international level
• can teach and advise in computer science, artificial intelligence, and data science at all levels.
For a hiring at the level of associate professor, applicants are expected to have demonstrated the ability to direct independent research projects and obtain external funding. An appointment as an assistant professor lasts for three years, after which a permanent position on associate professorship level is expected to be opened, for which the assistant professor can apply.
Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the research staff members in computer science have international backgrounds. Successful applicants will be offered Danish courses by the university.
Applications from promising early-career talents are highly encouraged. For more information about recruitment and career advancement criteria, please see the policy for recruitment and career advancement at the Faculty of Science.
Deadline: 15 February 2024.
Please see the full call, including how to apply, on www.sdu.dk.
Kilde: Jobnet.dk
The department’s current research in data science covers a wide range of areas and topics that include machine learning, optimization, visualization, data mining, bioinformatics, and explainable AI. We are involved in a range of basic and applied research projects and collaborations with public and private institutions, both nationally and internationally. Applications include biomedical and health areas, humanities, and social sciences, among others. We are looking for new colleagues who can strengthen or add to our competences in these or other directions, and who can contribute to the department’s strategic development in data science, artificial intelligence, and related topics. We are particularly, but not exclusively, interested in candidates with competence in advanced machine learning (including topics such as NLP, deep learning, and computer vision).
Who we are looking for
An ideal candidate:
• holds a PhD degree in computer science or equivalent
• has a research track record at a high international level
• can teach and advise in computer science, artificial intelligence, and data science at all levels.
For a hiring at the level of associate professor, applicants are expected to have demonstrated the ability to direct independent research projects and obtain external funding. An appointment as an assistant professor lasts for three years, after which a permanent position on associate professorship level is expected to be opened, for which the assistant professor can apply.
Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the research staff members in computer science have international backgrounds. Successful applicants will be offered Danish courses by the university.
Applications from promising early-career talents are highly encouraged. For more information about recruitment and career advancement criteria, please see the policy for recruitment and career advancement at the Faculty of Science.
Deadline: 15 February 2024.
Please see the full call, including how to apply, on www.sdu.dk.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Lærer", og befinder sig i kategorien "Undervisning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 22.12.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Lærer
- Odense M
- Torsdag den 15. februar 2024
Lignende jobs
-
Lærer i Odense
Få mere info- Lærer
- Odense
-
Lærer i Odense
Få mere info- Lærer
- Odense
-
Lærer i Odense
Få mere info- Lærer
- Odense
-
Lærer i Odense
Få mere info- Lærer
- Odense
Statistik over udbudte jobs som lærere i Odense M
Herunder ser du udviklingen i udbudte lærer i Odense M over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal lærere.
Se flere statistikker her:
Statistik over udbudte lærere over tid
| Dato | Alle jobs som lærere |
|---|---|
| 1. juni 2024 | 1 |
| 31. maj 2024 | 1 |
| 25. maj 2024 | 1 |
| 24. maj 2024 | 1 |
| 23. maj 2024 | 1 |
| 22. maj 2024 | 1 |
| 21. maj 2024 | 1 |
| 20. maj 2024 | 1 |
| 19. maj 2024 | 1 |
| 18. maj 2024 | 2 |
| 17. maj 2024 | 2 |
| 16. maj 2024 | 2 |
| 15. maj 2024 | 2 |
| 14. maj 2024 | 2 |
| 13. maj 2024 | 2 |
| 12. maj 2024 | 1 |
| 11. maj 2024 | 1 |
| 10. maj 2024 | 1 |
| 9. maj 2024 | 1 |