Quick facts

    • Linköping
  • Full time
  • Recruitment

Categories:

  • Electrical engineering
  • Technology

Subjects:

  • Associate professor

Apply by: 2021-12-22

Associate professor in Fault Diagnostics and Prognostics

Published 2021-11-17

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects.
Read more at https://liu.se/en/organisation/liu/isy

LINKÖPING UNIVERSITY
hereby advertises a position as

Associate professor in Fault Diagnostics and Prognostics

formally based at Vehicular Systems, Department of Electrical Engineering

Description of the subject area
Core of the subject area is classification of observed behavior of a technical system and detection of faulty, undesired, or dangerous states. For this a combination of model-based and data-driven techniques are used, and typical tools are the laws of physics and their structure that is integrated with machine learning techniques and methods from mathematical statistics and logic. With an increasing degree of autonomy and connected industrial systems, for example in transport and energy, there is a need to optimize efficiency, availability, and reliability of these systems. An autonomous system must, automatically and reliably, identify and act reliably in unseen and unusual situations with disturbances and faults that results in reduced performance. An important and directly related subject is fault tolerant control and predictive maintenance. Machine learning is a class of methods that has proven useful in modelling information in recorded data. A characteristic of technical dynamic systems is that it is often difficult, sometimes impossible, to collect training data that represents the full set of scenarios the model is expected to monitor. These scenarios include rare situations, that may not ever happen in training, such as faulty states or critical accidents. At the same time, there is often available knowledge about the system in the form of mathematical models and basic physical constraints and fusing this knowledge with available data is key to achieve performant systems.

The position is at the Department of Electrical Engineering (ISY), division of Vehicular Systems, and is part of the strategic research program in IT and mobile communication, ELLIIT (www.liu.se/elliit), a partnership between Linköping University, Lund University, Halmstad University, and Blekinge Institute of technology. In the position you are expected to contribute to ELLIIT’s objectives and vision for research, graduate education, community collaboration, and dissemination.

The division is active in research, graduate and undergraduate education in vehicle propulsion, safety, autonomy, electrification, diagnostics and prognostics.

Duties
The duties assigned to teaching staff may comprise educational responsibilities or research, and administrative tasks. Teachers are also responsible for monitoring developments within their subject areas and developments in the wider community that are significant to their role as a teacher at a higher education institution. The holder of the appointment will participate in teaching at undergraduate and advanced levels.

The position requires the ability to do independent research in diagnostics and prognostics at an international level, do build an externally funded research program, and to collaborate with industry and the community in research and data. The position also requires supervision of PhD students and master thesis workers, in addition to teaching and developing courses at the division. Some administrative work is also included.

The teaching and work assignments require the ability to communicate both in Swedish and English.

Qualifications
To be qualified for this appointment the applicant must have demonstrated teaching proficiency, received a Degree of Doctor or have the equivalent academic expertise or other professional skill which is of significance with consideration for the subject relevant to the appointment and the associated duties.

Here, the definition of “equivalent academic expertise” is a documented foreign degree which is deemed to be at least equivalent to a Degree of Doctor.

The definition of “other professional skill” is relevant professional skill gained outside of higher education. Other professional skill can be considered as a condition of eligibility only for employment in which proven experience within a profession is important.

Grounds for assessment
As grounds for assessment when appointing a senior lecturer, the level of proficiency required to qualify for the appointment shall apply.

As much attention shall be given to the assessment of teaching proficiency as to other conditions of eligibility.

For this position special weight is given to scholarly proficiency, followed by teaching proficiency and proficiency in forming and leading collaboration with industry and society in subjects that are central for the position.

Scholarly proficiency must have been demonstrated through: original research resulting in publication, through planning and managing research and third-cycle courses and study programmes and through the ability to obtain research grants Scholarly proficiency can also be demonstrated through the ability to achieve results in research through collaboration with other teachers and through the ability to provide information about research.

Teaching proficiency is demonstrated through the ability to convey relevant knowledge and skills, to stimulate students such that they drive their own learning process, to create engagement and interest in the subject area, and the ability to structure and organise both the content and forms of work in relation to the goals of the subject area. In addition, the teaching proficiency must have been demonstrated through the ability to contribute to the development and renewal of education and the ability to reflect on their own attitude to education and the results of their work.

Collaboration with society is an integral part of the research and educational mission of the higher education institution, where the ability to use collaboration with society as a means to raise the quality of the education and research, its relevance, dissemination, accessibility and application may constitute grounds for assessment.

Collaboration within research is demonstrated by the ability to disseminate, make accessible and benefit from research through the production and dissemination of popular scientific material, collaborative projects with external non-academic actors, commissioned consulting as expert, mobility projects, commercialisation, and activities undertaken within the framework of permitted secondary employment.

The applicant should show an ability to teach and preform work assignments in both Swedish and English.

Starting date
By agreement.

Salary
The University applies individual salary scales adapted to the experience of the employee and to the labour market.

Union representatives
Information about union representatives, see Help for applicants.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest December 22.

Applications and documents received after the date above will not be considered.

Equal Opportunities
A majority of Associate Professors within the Department of Electrical Engineering are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons
Lars Nielsen
Professor
+4613 281307
Christina Hammarstedt
Secretary of the Appointments Board
+4613 281528
Lina Florvik
HR-partner
+4613 281925