|Title: Postdoctoral position in Machine Learning and Activity Recognition in Ambient-Assisted Living environments||Posted: February 10, 2016|
|Company/Institution: University of Maastricht, Netherlands|
|Department: Data Science and Knowledge Engineering|
Description: The application will be in the field of activity recognition, machine intelligence and multimodal data analysis in Ambient-Assisted Living. The position is embedded in the Robots, Agents and Interaction group of DKE. The full-time position is offered not later than June 1st 2016, till December 2018, with yearly evaluations.
The successful applicant will hold a leading role in the activities of the University of Maastricht within a large-scale, collaborative HEALTH H2020 European project (ICT4Life) which started in 2016. She/he will conduct research in activity recognition using a variety of sensors (RGB and/or depth cameras (Kinect), wearable/non-wearable sensors), as well as personalized assistive interfaces with the aid of optimization techniques. This research is intended to be used in a novel decision support interactive platform to be used by doctors and caregivers of elderly with cognitive dysfunctions living in their home environments. The final goal is the development of new tools for integrated care by means of efficient and cost-effective ICT tools.
The successful candidate will produce publishable results in leading conferences and journals in the field, along with the co-supervision of PhD students working in the project. Further tasks include support in acquisition of research funding, BA/MA student supervision and teaching activities.
The candidate should have (or should be close to completing) a Ph.D. in artificial intelligence, machine learning, computer vision, or a closely related field. Pre-knowledge and practical experience in the design of (serious) games, eHealth (or other) interfaces is a strong advantage, while good programming skills (C/C++/Java) are required. We are looking for a highly motivated researcher with demonstrated research excellence in the field. Demonstrated experience in collaborative projects will be considered as an advantage, while excellent command of spoken and written English, good presentation, communication and organization skills are necessary, and the ability to work in a team and supervise technical and research outcomes, is a must-have.
Conditions of employment
The position is offered for a minimum of a 31-month period (June 2016-December 2018), based on external means, with yearly evaluation. At the PostDoc level, the salary will be set in preliminary salary scale 10 of the collective labour agreement of the Dutch Universities (expected minimum € 3044 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 16,000 students and 4,000 employees come from abroad.
The Department of 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 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. Other project-relevant expertise of the group concerns human-machine interfaces.
RAI group: https://project.dke.maastrichtuniversity.nl/RAI/
Department of Knowledge Engineering: www.maastrichtuniversity.nl/web/Schools/DKE.htm
Maastricht University: www.maastrichtuniversity.nl/
Application Instructions: Applicants are asked to send their application consisting of:
1. motivation letter (max 1 page),
2. transcripts of degrees,
3. curriculum vitae,
4. publication list,
5. a summary of the major achievements of their 2 or 3 most important publications,
6. summary (max 2 pages) of their PhD thesis,
7. and the names of at least two persons who can provide recommendation letters
to firstname.lastname@example.org (preferably in a single PDF document) or send this information via Academictransfer. Please mention “application – Postdoctoral position in Machine Learning and Activity Recognition in Ambient-Assisted Living environments” in the subject line of the application e-mail.
Applications received by March 20, 2016 will receive full consideration. Applicants may be called in for an interview. It is intended to fill this position by the 1st of June 2016, at the latest.
Informal inquiries concerning this position can be directed to
Dr. Stylianos Asteriadis, DKE, email@example.com
Prof. Gerhard Weiss, DKE, firstname.lastname@example.org