Doctoral student in information technology

Doctoral student in information technology, signals and systems engineering, with focus on data mining

The position is co-funded by Getinge Group AB and CAISR (Center for Applied Intelligent Systems Research, a long-term research program on intelligent systems at the School of Information Technology).

More information about CAISR is to be found at http://www.hh.se/caisr and http://caisr.hh.se/

The focus of the CAISR centre is on aware intelligent systems, computer systems that are human aware, situation aware and to some extent “self-aware". This means systems that can communicate with humans, systems that can be aware of human intentions, systems that can fuse information and be aware of the situation and not just individual sensor readings, and systems that can be self-moni­toring. The subject expertise in the centre is in machine learning, data mining, signal analysis and mecha­tronics.

Getinge Group is a leading global provider of equipment and systems that contribute to quality enhancement and cost efficiency within healthcare and life sciences, and has installed equipment in over hundred countries and is the world's leading provider of sterilizers. It's our vision that instruments are always ready for use when needed, so we create maintenance plan that fits your workflows, minimizes your downtime, controls your costs, and keeps your equipment operating at peak performance.

Principal duties
The successful candidate will work on machine learning-based methods for analysing streaming time-series data and detecting deviations by comparing one individual against a group of similar, but not identical systems. Those methods will be applied to the data from several different types of sterilisers, comparing different knowledge representations, in particular models that are general and models that build on the expert knowledge about the specifics of design and operation of sterilisers.

The project will entail developing novel methods and algorithms for combining information, often uncertain, coming from different sources, discovering interesting relations in the available data, evaluating their usefulness, and finally exploiting resulting algorithms to improve reliability and maintenance operations for sterilisers. The research will be performed in close collaboration with our industrial partners.

The successful candidate will also be expected to carry out some teaching and administrative tasks within the school.

Qualifications
The position is intended for someone with a master’s degree in Computer Science, Computer Engineering, or closely related fields. Candidates are expected to demonstrate interests and expertise in machine learning, data mining, and signal processing. Other desirable skills include programming, critical thinking, math literacy, creative thinking and good communication abilities.

Salary
Doctoral students are employees of the University and paid a salary according to a uniform salary scale, adjusted in relation to the progress in education and the first step is SEK 25 000 before taxes. The position includes doctoral studies up to doctoral degree and is annually extended in accordance with the Higher Education Ordinance Chapter 5, §7. The total employment period is four years but may be extended to a maximum of five years if the student performs 20% teaching or other tasks within the university. More information about PhD studies at Halmstad University, including the syllabus, is available at http://islab.hh.se/mediawiki/PhD

Application
The application should include the following: 

- a cover letter stating the purpose of the application, a description of your plans and goals for the PhD period, as well as justification of why you believe you are a good match for this position;
- a CV containing at least a list of previous degrees (dates and institutions); a description of current or previous projects that you have done or participated in, research that you have been involved in, and other work experience; a complete list of scientific publications, with links to online copies; any other information that showcase your expertise relevant for the position;
- a transcript for higher education studies (courses and grades), both Bachelor and Master levels; short descriptions of the contents of the courses most relevant for the position; a brief description of your MSc thesis project, and a link to full text of your final report (or a recent draft, if your MSc project is not finished yet);
- contact information for three references. 
Applications are sent by using Halmstad University's recruitment system MyNetwork. If the application cannot be sent via this system it should be sent via regular mail to Halmstad University, Registrar, Box 823, 301 18 Halmstad. Please quote reference number 2016/30.The application deadline is 2016-06-15

General Information
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 in 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).