
LULEÅ TEKNISKA UNIVERSITET · Luleå
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and edu...
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students.
We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/
You will be part of the Robotics and Artificial Intelligence research group. More information https://www.ltu.se/research/subjects/RoboticsAI?l=en. You will have the opportunity to collaborate with the strong multi-disciplinary and international professional network between researchers and industry associated with the WASP.
Subject description
Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks.
Project description
The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. The RAI team conducts fundamental and principled research in all aspects of robotics with a strong European and National participation in multiple R&D&I projects. RAI has participated in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/).
Research topics for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary:
Duties
The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry.
Qualifications
In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Robotics and AI, Automatic control or related subject. 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.
The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and experimental verifications. You will need to represent the group in different contexts, both in Sweden and abroad and hence have excellent skills in English. Experience in Field Robotics and real word experimentation will be highly considered as a merit.
Further information
The employment is limited to 2 years.
Placement: Luleå. Starting date: 01 August 2026
George Nikolakopoulos, Chaired Professor, (+46 )920-49 1298 mailto:geonik@ltu.se
SACO-S Diana Chroneer,(+46 )920-49 2037 mailto:diana.chroneer@ltu.se
OFR-S Marika Vesterberg, (+46) 920-49 1721 mailto: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 with a full description of all the scientific merits and publications of the candidate, motivation letter, a research plan with a description of the research topics, list of successful grant applications, list of 2 persons that could provide recommendations for the candidate and copies of verified and translated diplomas from high school and universities. Your application must be written in Swedish or English. Mark your application with the reference number below.
Closing date for applications: 15 June, 2026
Reference number: 2462-2026
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 Department of Civil, Environmental and Natural Resources Engineering (CENE) offers unique, collective research expertise in civil and structural engineering. The research subject Structural Engineering (https://www.ltu.se/en/research/research-subjects/structural-engineering) is now seeking a highly motivated postdoctoral researcher contributing towards science and technology in condition assessment. In our department we strive for everyone to develop in the subject and as a person. Subject description Structural Engineering includes loads, design, sustainability, load carrying capacity, repair and strengthening, of buildings and civil engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description The project, Semi-Probabilistic Assessment of Infrastructure under Climate Impacts, develops and applies semi-probabilistic and probabilistic methods to assess the current and future load-bearing capacity of existing infrastructure, taking into account climate change and non-stationary environmental conditions. The objective is to link reliability-based research to practically applicable decision-support tools for infrastructure managers and public authorities. The work is closely linked to research in bridge monitoring, condition assessment, and data-driven infrastructure management. Data from case studies (inspections, monitoring, and experimental tests) are used for model updating, calibration of safety formats, and prediction of future performance and remaining service life. Duties You will conduct research with strong methodological and applied components, leading to publications in peer-reviewed international journals and presentations at major conferences. Your work will include: Develop semi-probabilistic and probabilistic frameworks for the assessment of existing infrastructure under climate impact Integrate time-dependent deterioration models with climate projections Update models using monitoring and inspection data Calibrate and compare safety formats Translate analytical results into decision-support tools Contribute to supervision, teaching, and research proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil Engineering, or a closely related field, with specialization in structural reliability, probabilistic methods, infrastructure assessment, or durability. The doctoral degree must be completed at the time of appointment. The following qualifications and experience are required: Strong research background in structural reliability and probabilistic/semi-probabilistic analysis, as well as safety formats for structural design and assessment Documented experience with time-variant models for structural load-bearing capacity, deterioration processes, or life-cycle-based analysis of structures Experience with Monte Carlo simulation, FORM/SORM, or similar methods Ability to work with experimental, monitoring, or inspection data for model updating and uncertainty quantification Good knowledge of existing structures, particularly concrete structures and bridges Strong publication record Excellent proficiency in spoken and written English, and the ability to work independently as well as in interdisciplinary collaborations The following qualifications will be considered meritorious: Experience with climate change scenarios and their application in structural or infrastructure assessment Knowledge of code calibration, partial safety factors, or assessment standards for existing structures Experience translating technical results into decision-support tools or guidelines for infrastructure owners or public authorities Further information Full-time fixed term employment for two years with placement in Luleå. Starting: As soon as possible. For further information about the position, please contact Jaime Gonzalez, Senior Lecturer, (+46) 920-49 2970, mailto:jaime.gonzalez@ltu.se or Chao Wang, Senior Lecturer, (+46) 920-49 2944, mailto:chao.wang@ltu.se Union representatives: SACO-S Diana Chroneer,(+46) 920-49 2037 mailto:diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721 mailto: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 3, 2026 Reference number: 3824-2026
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