Arbetsbeskrivning
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 1,500 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.
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.
Project description
As a Senior Research Engineer you will work together with other researchers on developing our platform 'AI Factory', at the Division of Operation and Maintenance Engineering. The work is part of a number of externally funded projects in areas such as railways, batteries, construction and mining. The development work will focus on developing AI algorithms, improving the visualization interface with AR, VR and gaming technologies, and further developing our cybersecurity platform with Blockchain. The main task will be data collection, data security, data analysis, and visualization using applicable methods and technologies in a cloud/edge-based development environment.
Duties
The work will include, among other things:
• Support research activities within Asset Management, Industrial AI and eMaintenance
• Implementation and participation in research projects within Asset Management, Industrial AI and eMaintenance
• Development and design of applications
• Integration of technologies into AI Factory’s edge/fog/cloud platform
• Development of software AI Factory’s various services
• Work within the eMaintenance LAB
• Work with the International Industrial AI and eMaintenance Congress and workshop
Qualifications
• Extensive knowledge in software engineering
• Extensive knowledge in Python
• Extensive knowledge in software development in cloud environment, e.g. Azure
• Extensive knowledge in development of spatial applications
• Extensive knowledge in point cloud data processing
For the position, a PhD in operations and maintenance engineering or a related field is also considered an advantage.
Further information
Employment as a senior research engineer is limited to 1 year. Placement: Luleå. Starting: 2024-12-01.
For further information about the position, please contact: Ramin Karim, Professor, (+46) 920-49 23 44,
[email protected]
Union representatives:
SACO-S Diana Chroneer,(+46 )920-49 2037
[email protected]
OFR-S Lars Frisk, (+46)920-49 1792
[email protected]
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. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.
Closing date for applications: 27 November 2024
Reference number: 4557-2024