Postdoctoral position in machine learning and/or edge AI, “Energy Efficient Heterogeneous AI-Framework for Smart Mobile and Embedded Systems”
The Department of Technology and Innovation at the University of Southern Denmark (SDU) invites applications for a Postdoc position in machine learning and/or edge AI. The position is available earliest from August 1st, 2022 for 2 years.
The position is located within the Section SDU Technology Entrepreneurship and Innovation (TEI) at the Faculty of Engineering on the international campus Sønderborg. The section unites engineering, innovation management, and entrepreneurship scholars in joint research projects and teaching. The focus is industrial engineering and how to generate innovative products and the production of the future. The research is on innovative solutions across the entire product lifecycle, but with a focus at sustainable, digitalized and automated production.
SDU TEI is embedded in a region with a strong network of companies, including some of Denmark’s largest global industrial players (i.e. Danfoss, Linak, Siemens, Vestas) and many manufacturing SMEs. Projects currently running by the group cover a range of cutting-edge topics within Smart Factory – Industry 4.0, digitalisation and automation. The group publishes in leading international journals on these topics, such as Journal of Manufacturing Systems, Journal of Computer Integrated Manufacturing, International Journal of Production Research, Journal of Assembly Automation, etc.
The SDU TEI section is a highly international and interdisciplinary group of faculty members, with international students. The campus is in Sønderborg, an attractive maritime town with an open Scandinavian culture. For more information on SDU TEI, please visit www.sdu.dk/tei.
Job description
The position is highly related to a research project “Energy Efficient Heterogeneous AI-Framework for Smart Mobile and Embedded Systems” funded by ITEA4/InnovationsFond Denmark. The project aims to develop a framework that targets significant improvements in the energy efficiency of AI solutions, enabling their dissemination in embedded systems in mobility, communication and automation industries. The candidate’s main responsibility is to develop and implement machine learning algorithms in an industry use case developed in close collaboration with Danfoss Drives A/S.
Successful candidates will drive internationally competitive research and work closely with the industry. The candidate will also contribute to providing outstanding education and students supervision as well as supporting external research funding applications.
We offer
We offer a vigorous international research environment with excellent facilities and strong collaborations with research organisations and industry. We also offer the opportunity to shape our educational programmes to benefit from new developments in approach and content.
We expect
A highly motivated, and outgoing person, who is able to work in an international, interdisciplinary team. The candidate must be a team player and at the same time able to work independently. The successful candidate is active in publishing in engineering journals.
The candidate must have a relevant PhD in IT engineering, computer science, edge computing or similar.
The ideal candidate has knowledge, skills and competencies in artificial intelligence and experience of AI applications on various platforms. To be more specific, the candidate should have several of the fields listed below.
- Machine learning algorithms
- Proven track-record of successful AI implementation
- Desirable Python knowledge
- IT engineering
- Data analysis
- Digital twins from design to operation
- FPGA programming
- Embedded system
Further information is available from Associate Professor Fei Yu fei@iti.sdu.dk.
Conditions of employment
The Post Doctoral researcher is a 2-year position.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The faculty expects applicants to read How to apply before applying.
The qualifications of applicants will be assessed by an expert. Applicants will be informed of the outcome of this assessment. Applicants may be called for interview as part of the overall assessment.
The application must include:
- Curriculum vitae
- Research vision and strategy
- Diplomas/Certificates (Master and PhD degree)
- Teaching portfolio
- Account of experience in working with industry
- List of publications indicating the publications attached
- Dissemination qualifications, including participation on committees or boards, participation in organisations and the like
- Documentation of other qualifications with relevance to the position.
All documents must be in English.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Further information for international applicants about entering and working in Denmark.
Further information about The Faculty of Engineering.
Send application
Deadline 2022-June-01
You can apply for the job at Faculty of Engineering by completing the application form