The subject expertise in the group is machine learning, data mining, signal analysis, mechatronics and digital service innovation. Mining of sensor data streams and medical records, big data analytics, self-monitoring, and deviation detection are examples of areas of particular interest for us. We have a very good track record of doing research in close collaboration with the Swedish industry and public sector. The department has about 30 MSEK annual research budget, with 13-16 PhD students and about 30 researchers with PhDs. The department hosts the Centre for Applied Intelligent Systems Research (CAISR). The latest annual report for CAISR is available at www.hh.se/caisr.
The PostDoc position is primarily funded by the research project SeMI (Self-Monitoring for Innovation: Meta-framework for group-based self-monitoring).
The core research question of the SeMI project is “How to construct self-monitoring systems that use joint-human machine learning to adapt to specific domains, by taking advantage of groups of peers, and ubiquitous streams of data?” In order to answer this question we propose to develop a general meta-framework that can, based on domain-specific input, create tools for group-based self-monitoring for that particular domain. This meta-framework should be capable of learning from streams of data and detecting deviations in an unsupervised fashion, but interactively exploit available expert knowledge in a joint human-machine learning fashion. The unprecedented amount of data accessible today allows ML to focus on more descriptive and explanatory analysis. Users no longer pose well-formulated, concrete questions, but instead require the system to be capable of highlighting interesting aspects such as deviations, anomalies, relations and co-occurrences. We will support continuous learning model, where the training and usage are not easily separated, and the system improves its performance all the time, taking advantage of new data as it arrives.
The selected candidate will become part of the very dynamic and international research environment at the Center for Applied Intelligent Systems Research (CAISR), at the School of Information Technology. For more information please see: http://caisr.hh.se/ The post as postdoctoral researcher is a qualifying appointment with the purpose to give the employee a possibility to develop its independence as researcher and to obtain merits that can lead to a competence for another post with higher eligibility requirements. As a postdoctoral researcher you are expected to be active in the research done within the research environment CAISR. The teaching load will be at most 20% of the time working hours. Furthermore, we expect you to take an active part in the continued development of the research environment and that you will take part in applying for research funding from various financiers, both in Sweden and abroad.
The position is intended for someone with a recent PhD degree in Information Technology, Computer Science, Computer Engineering, or closely related fields. The research track record should demonstrate excellence in research areas such as machine learning and data mining. Strength in computer programming and/or applied mathematics is very welcome.
Salary is to be settled by negotiation. The application should include a statement of the salary level required by the candidate.
Applications should be sent via Halmstad University's recruitment system MyNetwork (see link on this page).
The application package shall consist of:
1) a cover letter stating the purpose of the application and a brief statement of why you believe that your goals are well-matched with the goals of this position, together with a description of future research plans
2) a CV that includes at least
- a list of previous degrees, with dates and institutions
- a complete list of publications with 2-3 most relevant ones for this position marked
- a description of previous research and other work experience
3) contact information for at least three references.
The working language is English and no knowledge of Swedish is required to start working at the University. Also for daily life, English is spoken widely and Sweden has the highest English Proficiency index in the world. Of course, it’s advisable that the employee learn Swedish. Both the University and the local government provide extensive facilities.
Halmstad is a popular summer destination located on the Swedish west coast. It is situated halfway between two cosmopolitan areas: the Copenhagen-Malmö-Lund area and the Gothenburg area, making it a well-connected, yet a pleasantly calm place to live. Halmstad can be reached by a direct train connection from the Copenhagen Kastrup Airport, as well as other local airports (e.g., Gothenburg Landvetter Airport, Halmstad, and Helsingborg/Ängelholm airports).