The applications will be in the challenging and cutting edge fields of human-robot interaction, emotion recognition and human activity understanding using sensors and cameras. The position is embedded in the Robots, Agents and Interaction group of DKE. The full-time position is offered from September 1st  2017 (or as soon as possible after that) until the end of 2018.

 The successful applicant will assist in research and technology integration and will gain significant experience in multidisciplinary European research projects. To that aim, she/he will work with other UM researchers, as well as research and industrial partners across Europe towards the development of intelligent, smart, interactive, personalized interfaces and applications aimed to be used for educational and e-health purposes.

1. Excellent programming skills in Python

2. Good command in web development using Flask (or willingness to familiarize)

3. Understanding of Linux command line environment

4. Have (or should be close to completing) a Master’s degree in artificial intelligence, machine learning, computer vision, or a closely related field.

5. Good/very good command of spoken and written English.

6. High motivation, enthusiasm and ability to work in a team.

7. Pre-knowledge and practical experience in interface designing and technologies integration will be highly appreciated.

8. Good presentation, communication and organization skills.

The salary will be set in salary scale 7 of the collective labour agreement of the Dutch Universities (expected minimum € 2161 and maximum 2917 gross) for a full-time job (38 hours/week). On top of these salaries, there is an 8% holiday and an 8.3% year-end allowance (calculated based on the annual salary). Non-Dutch applicants could be eligible for a favorable tax treatment (30% rule).

Maastricht University (UM), founded in 1976, is the youngest university in the Netherlands. It is rapidly expanding and has developed a strong international presence. UM is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. In 2013 UM entered the top 100 of the Times Higher Education’s (THE) World University Rankings (2013/14). Maastricht University has a very international profile and a large amount of the 16,500 students and 4,000 employees come from abroad.

The Department of data Science and Knowledge Engineering (DKE) has been top-ranked in the demanding Keuzegids and Elsevier ratings over the previous years. With respect to both research and teaching, DKE is engaged in various national and international collaborations. The RAI group, in DKE, has strong experience in the design and implementation of AI systems, human-machine interfaces and AI knowledge transfer, as well as in learning and coordination among autonomous systems (software or robots). This includes broad know-how in machine learning, computer vision, (joint) planning, (evolutionary) game theory, communication languages, and automated negotiation for such systems.

RAI group:

https://project.dke.maastrichtuniversity.nl/RAI/

Department of Data Science Knowledge Engineering: www.maastrichtuniversity.nl/web/Schools/DKE.htm
Maastricht University:

www.maastrichtuniversity.nl/