The Department of Computer Science and Engineering at the University of Oulu, Finland, is hiring a
Post-doctoral Researcher
to work on Smartphone Sensing of Human Behavior.
The position is available at the Department of Computer Science and Engineering at the University of Oulu (http://www.oulu.fi/cse), and the successful candidate will work within the Community Imaging Group (http://comag.oulu.fi). The research will focus on the development of smartphone sensing techniques to capture and model human behavior. The work is expected to extend the AWARE framework developed by our group (http://awareframework.com), particularly in the context of an ongoing project on cycling and transport.
Candidates should demonstrate extremely strong skills in developing for mobile platforms, particularly Android, and data analysis and machine learning techniques. A strong publication record in a relevant field is required. Experience with Human Computer Interaction and Ubiquitous Computing will be a benefit, particularly experience in conducting experimental studies with human participants.
Further details about the post:
- Start date: February 1st 2015 (negotiable).
- Duration: 2 years (renewable).
- Location of work: Oulu, Finland.
- Eligibility: Must hold a Doctoral degree (or equivalent) in a relevant field.
- Salary: 3200-3600 euros per month (before tax) depending on the qualifications (according to university salary system, teaching and research personnel).
Please contact Vassilis Kostakos vassilis (at) ee.oulu.fi for further information.
Applying
Applications are accepted online. Please complete your application, adding your CV, contact details for 2 referees, and list of publications or portfolio by January 9th, 2015 before 11:59 p.m. local time at the following URL:
The University of Oulu is an international research and innovation university engaged in multidisciplinary basic research and academic education. The University of Oulu is one of the largest universities in Finland with 16000 students and 3000 staff. The University encompasses eight fields of study: Humanities, Education, Economics and Business, Science, Medicine, Dentistry, Health Sciences, and Technology. The fields of information technology, biotechnology, northern and environmental issues have been defined as special research focus areas.
The Community Imaging group conducts research on the development of tools, techniques, and theories to study communities of people through their use of technology. Our research draws on human-computer interaction, ubiquitous computing, social network analysis, behavioural analysis, and data mining techniques. We experimentally collect data from communities of people through their use of interactive technologies such as mobile phones and social media, and subsequently analyse and model this data to characterise behavioural vectors of these communities.