Machine Learning Post-Doc Position
The TU Wien is located in the heart of Europe, a place where one can experience cultural diversity and international life. Research, teaching and learning have been conducted here in the service of progress for 200 years. TU Wien is amongst Europe’s most successful universities of technology and, with over 30,000 students and a staff of about 5,000, is Austria’s largest scientific and engineering research and education institution. The Computer Science faculty has consistently been ranked among the top 100 computer science departments in the world. The Institute of Information Systems Engineering, research unit Machine Learning
, at TU Wien is offering a position as a university assistant (post-doc) for up to 6 years for 40 hours/week. Earliest starting date: 16.03.2020.
The specific requirements for this post-doc position are the following:
- An outstanding publication record in top-tier Machine Learning / Data Mining / Artificial Intelligence conferences or related fields.
- A PhD in Computer Science or related subjects.
- Excellent command of English and readiness to learn German.
- Very good communication skills.
- Continuing personal and professional education and flexible working hours.
- Central location with very good accessibility (U1/U2/U4 Karlsplatz).
- A creative environment in one of the most liveable cities in the world.
TU Wien is committed to increase female employment in leading scientific positions. Female candidates are explicitly encouraged to apply. Preference will be given when equally qualified. People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university (contact: firstname.lastname@example.org
). Entry level salary as a postdoctoral researcher is covered by level B1 of the Austrian Collective Agreement for university staff, and receives a minimum of currently EUR 3.889,50/month gross, 14 times/year. Relevant working experiences may increase the monthly income. We look forward to receiving your application until 12.03.2020.
Applications should be submitted by e-mail to email@example.com and should contain:
- a cover letter stating the candidate's motivation to apply, and the reason(s) why they should be selected for the position;
- a curriculum vitae including a list of all publications and transcripts of all marks;
- a short research statement;
- three most significant publications; and
- the contact details of two referees.
For informal inquiries, please contact Franziska Tiefenthaller firstname.lastname@example.org
and Univ. Prof. Thomas Gärtner ( email@example.com