Postdoctoral researcher in machine learning

Halmstad University Work at a University where different perspectives meet! Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, innovation and collaboration with society have characterised the University's education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University's two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programmes. The campus is modern and well-equipped, and is situated close to both public transportation and the city center. More information about working at Halmstad University: https://hh.se/english/about-the-university/vacant-positions.html The School of Information Technology Halmstad University consists of four interdisciplinary Schools and the current position is located at the School of Information Technology (ITE). ITE is a multicultural school with around 130 employees from 20 different countries. It is a strong research and education environment, with focus on smart technology and its applications. Students and researchers are working with everything from AI and information driven care to autonomous vehicles, social robotics and digital design. ITE offers education on all levels, from undergraduate to PhD education, plus education for professional. Research is conducted within aware intelligent systems, smart electronic systems, cyber physical systems and digital service innovation. These four areas constitute the four technology areas of ITE . An innovation centre for information driven care called Leap for Life is connected to ITE, as well as a collaboration arena for electronic development, Electronics Centre in Halmstad (ECH) More information about the School of Information Technology: hh.se/ite-en Description The recruited person will carry out research, both independently and in collaboration with other members of the computer vision research group, recent projects obtained comprise research in computer vision for the analysis of distant images of people and indoor environments for the purposes of identity analysis (biometrics) and scene understanding (detection and segmentation of specific objects of interest, such as firearms, lying bodies, etc.). The focus includes data from both static cameras and moving sensors like drones. The research also includes the analysis and potential combination of different sensing modalities, such as RGB, thermal, depth sensors, LIDAR, etc. This is a two year position with a possibility to extension with one year if additional external funding is received. The recruited person will have an opportunity to advance Bachelor and Master level courses such as Artificial Intelligence, Learning Systems, Data Mining, Applied Data Mining, and Deep Learning. The person will also be involved in the Graduate professional development program (second-cycle courses targeted at the business sector).  The recruited person will be expected to teach up to 20% and do research at least 80%, within the project. Finally, the recruited person is expected to participate in supervision of thesis projects for bachelor and master level students, as well as co-supervise Ph.D. students. Principal duties The duties will be: To undertake computer vision research related to biometrics and scene understanding. The research will include a combination of different sensor modalities such as RGB, thermal, depth sensors, LIDAR, etc To contribute to academic publications and conference papers  To contribute to report writing Qualifications The applicant must hold a doctoral degree in Computer Science/Robotics/Artificial Intelligence/Machine Learning/Information Technology or related fields. The applicant needs to demonstrate a strong research profile in the fields related to topics of interest for CAISR research environment, including recent activities with high impact. The scientific production is expected to be published in high-quality, peer-reviewed research journals and conferences. Documented experience from innovation, research and development in an industrial environment is also a strong merit. The applicant should share the value that diversity and equality among researchers and teachers brings higher quality to research and education.  Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate, proving the qualification requirement is met, must be received before the employment decision is made. Primarily should those who have graduated no more than three years before the last application date, be considered. Under special circumstances, leave due to illness, parental leave, or similar circumstances, the doctoral degree can have been completed earlier. For appointment as a postdoctoral researcher, the following assessment criteria will be applied: Ability to conduct research of high international quality in computer vision, robotics and artificial intelligence Documented experience from research in collaboration with industrial partners and/or interdisciplinary teams Ability to conduct high-quality teaching and to develop courses at different levels Experience in supervision of bachelor/master students Ability to attract external funding Dynamism, curiosity, independence, creativity, and good teamwork Willingness to address opportunities and challenges within AI, machine learning and data mining Salary Salary is to be settled by negotiation. The application should include a statement of the salary level required by the candidate. Application Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page). How to design your application For further information, please contact Stefan Byttner (stefan.byttner@hh.se). General Information We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience. Read more about Halmstad University at http://hh.se/english/discover/discoverhalmstaduniversity.9285.html