Employment informationEmployment: Permanent employment, possible probationary period of six months
Scope: Full time
Closing date for application: 2019-01-01
Campus location: Eskilstuna
School: School of Innovation, Design and Engineering, (IDT)
Information about the positionThis position as Professor of Computer Science with focus on Applied Intelligence with specialisation in Intelligent Manufacturing is related to our research and teaching in the areas of the next generation of intelligent production systems (Beyond Industry 4.0). It is of interest for you who work with AI and want to apply your knowledge in the exciting area of production. We are a team of leading researchers in AI and production who work with the application areas of robotics, health technology and manufacturing systems. We work closely with our external partners to create unique architectures and solutions in the forefront based on the latest developments in the AI area. We have leading competences today in for example expert systems, vision systems, and machine learning. Today at IDT we have around 130 senior researchers and 100 doctoral students.
Your role is to take responsibility for the application area of AI in production. This includes research on big data, advanced analysis, predictive analysis, production informatics and decision science in an industrial production context.
Major responsibilitiesThe position embraces research, research supervision, continued development of the research area, and teaching at first-, second and third-cycle levels. The position also includes participating in outreaching activities through publications in highly ranked journals but also through interaction with professionals. As a professor you will contribute to the development of the new research group. This includes taking on leadership and jointly developing the research group, and the ability to initiate and to manage problem-oriented and interdisciplinary research projects. Further, you are expected to contribute to the development of strategic ongoing and future initiatives, both at the University and to our strategic collaboration platforms.
Our offerMDH offers excellent work conditions and research possibilities in a well-recognised and -established research environment in the Mälaren region. This professorship is part of a unique and large initiative of the University, where the municipality and the companies in the region ensure that the Mälaren region will continue to be a leading production hub in Europe. The professorship will be fully funded, including funding for building up the research with both postdocs and doctoral students.
We also offer close collaboration with our partner companies and within the research group, and with a high degree of freedom to develop and advance the research activities in the area of the next generation of production research. We perform leading research in embedded systems and production development.
Qualification requirementsAcademic skills will have been demonstrated by independent research work which to a significant degree exceeds the requirements for docent competence (see the University’s Guidelines for assessment of docent competence).
Importance is also attached to the planning and leading of research. Academic skills may also have been demonstrated by the ability to achieve results in research through cooperation in joint projects of benefit to academia and to industry/the public sector/society in general and through the ability to disseminate research.
Teaching skills will have been demonstrated by teaching at first-cycle as well as third-cycle levels. The assessment of teaching skills shall apply to the planning, carrying out and evaluation of teaching as well as supervision and examination. Teaching skills shall be documented in such a way that their quality can also be assessed.
The applicant should have completed ten weeks of training in higher education teaching and learning, or have otherwise acquired equivalent knowledge. A person appointed as a Professor but lacking training in higher education teaching and learning will be offered in-house training during the first year. The course in higher education teaching and learning at Mälardalen University corresponds to ten weeks of training.
Good communicative abilities in English are a requirement since international contacts and cooperation are of great interest, and since most of our advanced courses are given in English.
Assessment criteriaPlease see the full advertisement text on www.mdh.se
ApplicationApplication is made online. Make your application by clicking the "Apply" button below.
The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.
We look forward to receiving your application.
Anders Berglund, Head of Division for Product Realisation
016-15 51 33
Jessica Bruch, Professor of Production Systems
Michaël Le Duc, Facklig representant SACO
021-10 14 02
Susanne Meijer, Facklig representant OFR
021-10 14 89