Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 2 billion per year. We currently have 1,900 employees and 17,900 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 research subject Operation and Maintenance Engineering conducts research and education in operational safety, asset management and risk management. The subject's research team Industrial AI & eMaintenance develops technologies, methodologies and tools based on emerging technologies, such as artificial intelligence (AI) and digital technologies, for advanced analysis of complex technical systems.

The Division of Operation and Maintenance Engineering currently has about 40 employees, which in turn is part of the Department of Civil, Environmental and Natural Resources Engineering (SBN) with about 430 employees. To strengthen research activities and teacher competence in industrial AI, eMaintenance and cybersecurity, we are now looking for a senior lecturer.

Subject description
Operation and Maintenance Engineering deals with the development of technologies to ensure high system dependability, effective maintenance processes, and life cycle management of engineering assets.

Duties
The work will include:

• Conduct research in Engineering Asset Management, Maintenance, Industrial AI, eMaintenance and Digital Twin
• Teaching, with a focus on Industrial Asset Management, Maintenance, Industrial AI, eMaintenance and Digital Twin
• Publication and dissemination of scientific material
• Implementation and participation in research projects on industrial AI, eMaintenance and digital twins
• Work in the eMaintenance LAB and on the AI Factory platform
• Arbete med International Industrial AI and eMaintenance Congress och workshop
• Support research activities in Asset Management, Industrial AI and eMaintenance
• Implementation and participation in research projects in Engineering Asset Management, Industrial AI, eMaintenance and Digital Twin
• Development and design of applications and end-to-end demonstrators
• Integration of technology into AI Factory's edge/fog/cloud platform
• Development of software AI Factory's various services

Qualifications

To meet the requirements for the appointment as a senior lecturer, the applicants: 

• must have been awarded a doctoral degree or must have the corresponding academic competence[1] or other professional expertise that is valuable for the appointment;
• must demonstrate pedagogical expertise by means of proven experience, teaching expertise and teaching development[2];
• must have completed higher education pedagogy courses equivalent to 7.5 higher education credits or otherwise have acquired equivalent knowledge.

Assessment criteria
The following assessment criteria apply to this position:

• scientific expertise
• teaching expertise
• other assessment criteria.

Other assessment criteria (not ranked): 

• Expertise in industriell AI, eMaintenance och Digital Twin
• Expertise in spatial and point cloud computing
• Documented experience of designing research applications in collaboration with industry
• Documented experience of university-level teaching and course development
• Extensive knowledge in software engineering
• Extensive knowledge of Python
• Extensive knowledge in software development in a cloud environment, e.g. Azure
• Ability to collaborate with the surrounding community
• Ability to obtain external research and development funding
• Ability to communicate research and development work
• Ability to teach in Swedish and/or English
• Doctor of Technology in Operation and Maintenance Engineering
• Experience of knowledge transfer between universities and industry.
• Experience in development in an integrated cloud and IoT environment.
• Experience in developing methods, technologies, tools aimed at asset management, operation and maintenance in industrial contexts.

Most of the employees in the subject Operation and Maintenance Engineering are currently men, therefore we would like to see female applicants.

Information
The position is a permanent full-time employment located in Luleå. Start date by agreement.
For further information about the position, please contact: Professor Uday Kumar, uday.kumar@ltu.se or Professor Ramin Karim, 0920-49 23 44, ramin.karim@ltu.se

Union representatives:
SACO-S Diana Chroneer, 0920-49 2037 diana.chroneer@ltu.se
OFR-S Lars Frisk, +46 (0)920-49 17 92, lars.frisk@ltu.se

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

Application
We prefer that you apply for this position by clicking on the apply button below and attach the requested application documents including diplomas (certified and translated into Swedish or English), pedagogical self-reflection and publications, etc. We prefer that applicants follows the Instructions for applicants. Note that the applicant´s educational qualifications should be particularly documented. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

Final day to apply: February 27, 2025
Reference number: 384-2025