Assistant Professor in Information Technology
Halmstad University, School of Technology / Högskolejobb / Halmstad
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hela Sverige Visa alla jobb hos Halmstad University, School of Technology i Halmstad Assistant Professor in Information Technology with focus on Intelligent vehicles/Mobile Robots
• The post can be renewed up to a maximum of four years.
The position is a collaborative effort between Volvo Technology (VTEC) and CAISR (Center for Applied Intelligent Systems Research), which is a long-term research program on intelligent systems at the School of Information Technology at Halmstad University funded by Knowledge Foundation. More information about CAISR is to be found on:
http://www.hh.se/4.2515361d1351369447180004010.html The focus of the 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 expertize in the centre is in machine learning, data mining, signal analysis and mechatronics.
Principal duties
The research will focus on making future self-driving and autonomous vehicles situation aware. 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.
This will entail developing novel methods and algorithms for extracting and combining information (considering uncertainty) coming from different sensor systems (installed on the vehicle),aggregating knowledge gained from perception or by means of information and representing knowledge and information in semantic maps. The research will be performed in close collaboration with our industrial partner, and requires spending time both at Halmstad University and Volvo Technology in Gothenburg. The successful candidate will also be expected to carry out some teaching and administrative tasks within the school.
Qualification
The applicant shall have a strong background in intelligent vehicles/mobile robots with at least one post-doc position after PhD. The applicant shall have a deep knowledge on perception systems preferable towards vehicle automation and experience working with advanced signal processing methods (including machine learning methods) on real world data. The position is intended for someone with a PhD degree in Computer Science, Computer Engineering, or closely related fields. Desirable skills include experiences in robotics, machine learning, signal processing, and computer vision. Profound knowledge in deep learning is meritorious.
Salary
Salary is to be determined by negotiation. The application should include a statement of the salary level required by the candidate.
Application
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) an attested 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
3) contact information for at least three references
Varaktighet, arbetstid
100%. Tillträde: 2017-06-18 or as soon as possible thereafter Visstidsanställning
Publiceringsdatum2017-05-24ErsättningFixed salery
Så ansöker duSista dag att ansöka är 2017-06-12
Ange följande referens när du ansöker: 2017/61
Klicka på denna länk för att göra din ansökanKontaktAntanas Verikas, Head of Department 035-167140
Björn Åstrand, Associate professor 035-167143
Theres Erixon Larsson, HR-administrator 035-167381
FöretagHalmstad University, School of Technology
AdressHalmstad University, School of Technology
Kristian IV:s väg 3
30118 Halmstad
KontorsadressKristian IV:s väg 3
Jobbnummer 3519941
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