Luleå University of Technology experiences rapid growth with world-leading expertise within several research domains. We shape the future through innovative education and groundbreaking research results and drawing on our location in the Arctic region, we create global societal benefit. Our scientific and artistic research and education are carried out in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has an annual turnover of SEK 1.9 billion. Today, we have 1,815 staff and 19,155 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.

The Machine Learning (ML) group at the Luleå University of Technology in Sweden has an open postdoctoral position with focus on neuromorphic sensing for advanced machine health monitoring. Work together with our prestigious and WASP researchers (WASP is the biggest Swedish funding initiative promoting basic research in autonomous systems) in a creative resourceful environment with an extensive international contact network.

Our work is both of a fundamental research nature and of an applied character and is often done in close cooperation with the Swedish and international industry. We have a long tradition of working in condition monitoring related projects and are experienced in neuromorphic computing using both mixed-signal and digital platforms.

Subject description
Machine learning focuses on computational methods by which computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications.

Project description
The project is a collaboration between the ML group and the division for Machine Elements and it is part of CREATERNITY – a strategic future area of the university focusing on sustainable change. We offer an international environment, well-equipped laboratories and a wide network of contacts within Sweden and Europe. This position concerns research with a focus on neuromorphic vibration sensing for condition monitoring applications.

Neuromorphic (i.e., brain-like and event-driven) systems are developed to solve sustainability challenges in artificial intelligence (AI) and digitization, especially related to energy efficiency. By imitating biological senses and the brain, where information about changes (events) drives dynamic processes for information processing, new efficient sensor systems are developed.

Condition monitoring is expected to become one important application area and market segment. However, further knowledge about event-based sensors for such applications are needed.

The duties of postdoctoral fellows primarily comprise research. Teaching and pedagogical development work may be included in the duties, up to a maximum of 20% of the working hours. This position focuses on developing the knowledge about neuromorphic and event- based vibration sensors for advanced condition monitoring, e.g. investigating machine learning based signal processing methods suitable for implementation with spiking neural networks and neuromorphic processors, filterbanks, charge amplifier designs, and event-driven estimation.

You will work closely with other researchers at Luleå University of Technology and participate in the supervision of doctoral students, especially in collaboration with a postdoc in Machine Elements at the Department of Engineering Science and Mathematics, which focuses on the application of such sensors.

You must have a doctoral degree or equivalent foreign degree with good knowledge in programming and electrical engineering as well as one of the areas neuromorphic computing, machine learning for signal processing, or condition monitoring. You are a highly motivated researcher with disciplined work habits. If you have completed a doctoral degree no more than three years before the end of the application period, you will be given priority.

Candidates who have been awarded a doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence.

Experience of international research collaboration and good knowledge of data analysis for condition monitoring, or neuromorphic computing/engineering is an advantage. Good knowledge of English in writing and speaking is a requirement, and the ability to work both individually and in groups.

Further information
Full-time fixed term employment for two years, with possibility for up to three years employment with placement in Luleå.

For further information, please contact Professor Fredrik Sandin, +46 920-49 3163,, and Professor Pär Marklund, +46 920-49 2415, with the keyword “postdoc” and the reference number below in the title of the letter.

Union representatives:SACO-S Kjell Johansson (+46)920-49 1529, OFR-S Lars Frisk, (+46)920-49 1792

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

We prefer that you apply for the position via the application button below, where you attach a personal letter as well as a CV / curriculum vitae, grades and diploma. Please mark your application with the reference number below. Applications and diplomas must be written in Swedish or English.

Closing date for applications: August 14, 2022
Reference number: 2679-2022

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