Hauptnavigation

SFB 876 - News

To the job-site

Research Assistant (m/f) for Machine Learning

Description

With more than 6,200 employees in research, teaching and administration and its unique profile, TU Dortmund University shapes prospects for the future: The cooperation between engineering and natural sciences as well as social and cultural studies promotes both technological innovations and progress in knowledge and methodology. And it is not only the more than 33,500 students who benefit from that.

The Faculty for Computer Science at TU Dortmund University, Germany, is looking for a

Research Assistant (m/f)

with a strong background in Machine Learning/Data Mining, to start at the next possible date and for the duration of up to three years.

Salary will be paid, in agreement with the lawful regulations of tariffs, according to salary group E13 TV-L resp. according to the provisional regulations of the TVÜ-L, if applicable. The position is a full time appointment; it is in principle suitable for part-time employment too. Duration of the contract will be based on the targeted qualification (e.g. PhD).

Profile:
The Department of Artificial Intelligence at Dortmund is a small team that is involved in international research on Machine Learning and Data Mining, and develops application-oriented theories as well as theoretically well-founded applications. We expect:
• The candidate must have a university master degree in computer science
• Motivation to push research forward
• Interest in exchanging ideas within the team and with international researchers
• Excellent software development skills
• Ability to supervise and motivate students
• Outstanding performance resulting in publications

Tasks:
Responsibilities include teaching (four hours per week, e.g. tutoring, project groups, supervision of students) and support of research on machine learning. Participation at the collaborative research center SFB 876 is expected.

We offer:
• Participation in an inspiring, highly motivated team
• Support in developing the candidate's specific scientific strengths and qualification
• Opportunity to obtain a Ph.D.

The TU Dortmund University aims at increasing the percentage of women in academic positions in the Department of Computer Science and strongly encourages women to apply.

Disabled candidates with equal qualifications will be given preference.

SFB project SFB876-B3
Posted on: 25.5.2016
Application submission until: 8.12.2016
Employment type Full-time
Educational Requirements Master in Computer Science or equivalent
Experience Requirements Excellent software development skills. Outstanding performance resulting in publications.
Responsibilities Responsibilities include teaching (four hours per week, e.g. tutoring, project groups, supervision of students) and support of research on machine learning. Participation at the collaborative research center SFB 876 is expected.
Hiring Organization TU Dortmund University, Artificial Intelligence Group
Industry Computer Science Research
Job location Dortmund, Germany
Base salary 13 TV-L tarif
Salary currency Euro
Benefits
URL