Assistant/Associate professor in Computer Science(Al specialization in HPC), The School of Engineering, Construction Engineering and Lighting Science
The School of Engineering is one of four schools within Jönköping University.
We offer attractive technical education at undergraduate and graduate levels and carry out advanced research in several technological areas. Working with us, you are close to colleagues in an international environment with great opportunities to influence and develop.
Assistant professor/Associate professor in Computer Science with a focus in machine learning and data analysis (specialization deep learning/high performance computing)
At the Department of Computer Science and Informatics research is conducted in the field of Computer Science and Informatics. The newly established Jönköping AI Lab (JAIL) consists of two full professors, three associate professors, assistant professors, and affiliated Ph.D.-students and laboratory engineers. The main research area is applied artificial intelligence (AI), carried out in collaboration with the surrounding society and industry. We focus on developing and applying theory and methods from data mining, machine learning, and semantic technologies. JAIL is currently the largest research group at the department and is developing and growing stronger.
The department offers technical education at undergraduate, graduate and research levels. The teaching is conducted through bachelor, master, and engineering programs that span from graphic design to software development and AI, in close connection with the research carried out at the department. There are approximately 30 researchers and teachers and about half of the staff holds a Ph.D. degree.
As an Assistant professor/Associate professor you will primarily carry out research and education in the area of Computer Science. Typical tasks for this position include: independent research planning and execution, as well as dissemination of research results through publications; participation in the preparation of external research grants; participation in research projects, preferably in co-production with the industry; supervision of bachelor and master thesis as well as supervision of doctoral students; teaching in Computer Science related areas as well as course responsibility and program development. Finally, you are also expected to contribute actively to the development of both the JAIL research group and the department's new educational programs and courses in AI, data analysis, and machine learning.
We are looking for candidates who have completed a Ph.D. in Computer Science or related field, have documented pedagogical skills, and have undergone training in higher education or otherwise acquired equivalent knowledge. It is meritorious if you have experience supervising doctoral students, as well if as if you have relevant experience regarding teaching and research for an associate professor title. Please, for eligibility requirements see ‘https://intranet.hj.se/download/18.48f3ae3216b3508f41aec93/1560243363040/Ã?Â§ 806 Regulations for employment of teachers at JÃ?Â¶nkÃ?Â¶ping University Ã¢Â?Â? Appointment Procedure.pdf.
Regarding education, you should have teaching experience in Computer Science and related subjects, at both basic and advanced level, including supervision of final year projects. It is an advantage if you have experience regarding course management, course development and course examiner and experience as program development and responsibility also.
Regarding research, you should have experience conducting research of high international quality and have published in reputable channels within a field relevant to this position. It is meritorious if you have experience carrying out research in collaboration with the industry and public organizations, experience of applying for external research grants and leading research projects; you have PhD-student supervision experience as well as you are an active member in the research community in a relevant area for this position (reviewer assignments, program committee assignments, opposition/examiner committees for doctoral candidates, etc.)
In particular for this position, you should have solid theoretical and practical knowledge of deep learning or high-performance computing for data mining.
It is meritorious if you have knowledge and experience regarding programming languages for ML/data analysis such as Python, Matlab or R, and tools such as Azure, TensorFlow or KNIME.
We are looking for candidates who are independent, analytical, creative, and committed. Generally, excellent candidates should demonstrate strong organizational, literacy, and numeracy skills as well as passion and diligence for the work at hand.
This is a full time (100%) permanent position, with a start date of 1 January 2020, or as agreed upon. Working conditions are regulated in collective agreements and Jönköping University implements individual salary setting.
For further information you are welcome to contact:
The head of the department, Anders Arvidsson; Professor, Computer Science, Niklas Lavesson; union representatives, Mikael Palmgren (Saco-S) or Thomas Axelsson (ST). You can reach them by contacting the main switchboard: 036-101000.
Please also read applicable parts of "Appointment Procedure at Jönköping University"
We welcome with your application, no later than September 1, 2019. Your application must include:
- Cover letter – including a brief outline of your research interests
- Curriculum Vitae
- Name and contacts for two references
- Publication list and citation records (up to ten selected publications)
- Pedagogical portfolio
- Certified copy of doctoral degree
Jönköping University is a modern institution, characterized by internationalization and an entrepreneurial spirit. We attract highly qualified, inventive and enterprising people from all around the world. We develop new knowledge and share our expertise through solid collaborations with industry and business, the public sector and other higher education institutions. We offer an equal and inclusive workplace and we welcome applicants with diverse backgrounds. For more information, visit http://www.ju.se