Postdoc position in Robotics and Artificial Intelligence WASP

Do you want to develop your research and teaching in an environment where collaboration with industry and society is a natural part of the work? With us, you will collaborate with dedicated colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference for your students, your research, and society at large. The subject area of Polymeric composite materials at Luleå University of Technology is now announcing a postdoctoral position. The position focuses on fundamental research on high-performance, thermo-oxidatively stable advanced fiber-reinforced polymer composites. The position focuses on fundamental research on high-performance, thermo-oxidatively stable advanced fibre-reinforced composites.   Subject description   Polymeric Composite Materials is a research area comprising the study of processes and mechanisms that influence the performance and properties of fiber reinforced composites, as well as the know-how regarding their manufacturing techniques.   Project description   The recruitment is carried out with the aim of, through fundamental materials science research on the properties of temperature-resistant candidate resins, developing a deep understanding of new temperature-resistant material combinations. This understanding will be used to establish theoretical models describing the relationship between manufacturing and performance. The ultimate goal is to enable continuous use of new materials in highly demanding environments.   Duties   The candidate will become part of a research group working on validating experimentally verified physical phenomena using relevant material models, as well as development of high-performance composites for a wide range of applications.   Qualifications   To be eligible for the position, the applicant must hold a doctoral degree, or equivalent, in composite materials, materials science and engineering, polymer science, polymer engineering, computational materials science, applied physics, mechanical engineering, physical chemistry, or related fields. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification. 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.   Good proficiency in spoken and written English is required. You should be able to work in a team, take initiative, and have strong collaborative skills.   Additional qualifications include expertise in material characterization, particularly of polymers and composite materials. Competence in curing reactions of thermosetting polymers, practical composite manufacturing, thermochemical and mechanical characterization, as well as modelling of thermo-mechanical properties of composites is also meritorious, as is experience with X-ray tomography and the application of methods—including AI-assisted methods—for data analysis.   The selected candidate must comply with applicable export control legislation, as well as any customer and supplier requirements regarding security and information management. Access to certain information and technology within the assignment is restricted in accordance with applicable export control regulations and license conditions. Only individuals who can be authorized for such access under these regulations may participate in the parts of the assignment covered by these restrictions.   Further information   Full-time fixed term employment for two years with placement in Luleå. Estimated starting date is December 1, 2026.   For further information about the position, please contact Patrik Fernberg, (+46) 920 492883, mailto:patrik.fernberg@ltu.se   Union representatives:   SACO-S Diana Chroneér, (+46) 920-49 2037 mailto:diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721 mailto:marita.vesterberg@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. 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: 6 of August 2026 Reference number: 3680-2026

- "Advanced data mining of computerized mining equipment in underground mines”   Do you want to develop your research and teaching in an environment where collaboration with industry and society is a natural part of the work? With us, you will collaborate with dedicated colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference for your students, your research, and society at large.   Luleå University of Technology is one of Europe’s leading universities in mining and metallurgy. The University offers a unique opportunity for developing, comprehensive research skills throughout the mining chain - from exploration, mining, processing and metal production, to recovery after completing mining activities.   Subject description  Mining and Rock Engineering comprises mining technology, rock engineering and rock mechanics, including rock mass properties, design of rock excavations and tunneling as well as planning and production processes related to both mining and civil engineering.   Project description It is very important that you who apply for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also understand end-user requirements and needs, when implementing developed technologies in an industrial environment.   Todays mining equipment has become more advanced with computerized control systems that have the ability to monitor and measure the machine performance. External equipment, such as 3D-scanning, video recordings, bucket weight measurement systems etc. monitoring production are today commonly used. In modern mines, equipment is also often automated and monitored and controlled from central control rooms. The visualization and presentation of data-based information to management and operators for decision making in a production environment, is also a very important part of the utilization of this large amount of data.   This vast logged data can provide detailed knowledge of the properties of the rock mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization.   For this position, mathematical, analytical and problem-solving skills are essential in order to understand and benefit from this new data intensive mining environment.   Duties As a postdoc you will contribute to research, publication and pedagogical activities, and will explore the wide industrial and research contacts of MRE towards future collaborative research projects, both national and international. We offer a stimulating and dynamic research environment with an extensive national and international network along with interesting, exciting research projects conducted in collaboration with the private and public sector.   Qualifications In order to be eligible for a postdoctoral position you must have a PhD degree or a foreign degree equivalent to a PhD. Your previous education should contain mining engineering or similar topic that is appropriate for the project description above.   Candidates who have been awarded a doctoral degree no more than three years before the application deadline will be given precedence. 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.   In addition to a PhD in in relevant subject, the following selection criteria will be used:  - Documented knowledge in Mining Engineering and production optimization - Documented mathematical, analytical and problem-solving skills. - Good knowledge of statistics, AI/ML, and mathematical modeling and programming. - Good knowledge in academic writing and reviewing scientific publications. - Excellent communication and interpersonal skills. - Practical mining-related experience is a plus. - Interest in and ability to work in a multidisciplinary and multilingual environment. - Good skills in English speaking and writing. Documented skills, TOEFL-test or similar is a plus.   Further information Full-time fixed term employment for two years with placement in Luleå, Sweden. Start date as agreed, preferably around October 1, 2026.   For further information about the position, please contact: Professor Anna Gustafson, (+46) 920-49 3309, anna.gustafson@ltu.se or Professor Håkan Schunnesson, hakan.schunnesson@ltu.se     Union representatives: SACO-S Diana Chroneer,(+46 ) 920-49 2037, diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721, marika.vesterberg@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. 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: August 15, 2026 Reference number: 3320-2026