Doctoral student - Intelligent vehicles/Mobile Robots

Doctoral student in information technology with focus on Intelligent vehicles/Mobile Robots

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

More information about CAISR is to be found on: http://www.hh.se/4.2515361d1351369447180004010.html

The focus of the center 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 expertize in the center is in machine learning, data mining, signal analysis and mecha­tronics.

Principal duties:
The research will focus on making future mobile robots and autonomous vehicles situation aware with the goal of making them more intelligent, flexible and safe. The successful candidate will work on developing methods and algorithms based on signal processing and machine learning to recognize, describe, and reason about objects in the environment. This will result in a system that is situation aware since actions of other agents operating in the environment can be foreseen and concerns can be made on objects’ identities (e.g. human or vehicle).

This will entail developing novel methods and algorithms for extracting and combine information (considering uncertainty) coming from different sensor systems (installed on the mobile robot), aggregate knowledge gained from perception or by means of information and representing knowledge and information in semantic maps.

The work also includes demonstrations of the practicability of the developed methods and algorithms. 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.

Qualification:
The position is intended for someone with a master’s degree in Computer Science, Computer Engineering, or closely related fields. Desirable skills include experiences in robotics, machine learning, signal processing, and computer vision. Experience using Robot Operating System (ROS) is a plus.

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.

Application:

The application shall consist of:

- 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,
- a CV that includes at least a list of previous degrees, dates, and institution, transcripts for higher education studies until most recent available a complete list of publications and a descrip­tion of previous research and other work experience and links to online copies of the most im­portant publications
- 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 2016/38.The application deadline is 2016-08-07. Expected starting date is 2016-09-19, but is negotiable depending on the successful candidate's conditions.

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).