"Production optimization loading and transport systems in SLC mines" Luleå University of Technology is growing rapidly with world-leading expertise in several research areas. We shape the future through innovative education and groundbreaking research results, and based on the Arctic region, we create global social benefits. 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 almost SEK 2.1 billion per year. We are currently 1,900 employees and have 18,700 students. In the coming years, billions of kronor will be invested in Norrbotten and Västerbotten in major projects aimed at a more sustainable society nationally as well as globally. Luleå University of Technology is involved in several of these highly topical research projects and the social transformation that follows. We have a wide range of programs to match the skills that are in demand. We hope that you will help us build the sustainable companies and societies of the future. Luleå University of Technology is one of Europe's leading universities in mining and rock engineering. The university offers a unique opportunity to develop knowledge and research skills in the entire mining chain - from exploration, mining, metal production, to land reclamation after mining operations. Project description In underground mines, LHD machines are mostly used for loading and transportation of ore. Today, these machines have become more advanced with computerized control systems that have the ability to monitor and measure the performance of the machine and also the characteristics of the ore in the bucket. In this project, the researcher will be involved in data-driven development and optimization of the loading and transport systems in underground mines, including adaptation of systems to different loading conditions as well as also bucket scanning, bucket filling degree/fragmentation and calculation of ore grade. Within the framework of the project, you will be involved in developing the future control of mine production with regard to ore grade. A necessary requirement for the developed model is that it can handle different loading conditions, different loading areas and new mining methods. In addition, adaptation to real operational mining conditions requires significant knowledge gain and model development. Visualization and presentation of data-based information to management and operators for decision making in a production environment is also a very important part. The researcher will be involved in the improvement, analysis and development of dynamic load control systems (adaptable to different loading and mining conditions, e.g. autonomous loading, truck loading, fragmentation, different mining areas, mining depths, machine and operation sizes, etc. The research also includes data analysis, filtering of large amounts of data, etc. It is also important to have a solid understanding of mining and mining systems to understand the requirements and needs of end users when implementing developed technologies in an industrial environment. Job description As a postdoctoral researcher in mining and rock engineering, you will contribute to research, scientific publication, educational activities, and be part of BAT's broad industrial network with a focus on future collaborative projects, both national and international. We offer a stimulating and dynamic research environment with an extensive national and international network and interesting, collaborative research projects with industry. Qualifications To be eligible for employment, a PhD or equivalent foreign degree is required. Furthermore, your previous education should include mining and rock engineering or similar subject appropriate to the project description above. It is an advantage if your degree was obtained no more than three years before the closing date for applications for this position. If there are special reasons, those who have obtained a doctoral degree earlier may be considered, for example in the case of various types of statutory leave. In addition to a doctoral degree in the relevant subject, the following selection criteria will be used; - Good knowledge of probability, statistics, AI/ML and mathematical modeling. - Good knowledge, skills and interest in advanced data analysis and modeling. - Proven programming skills in e.g. Matlab, Python or similar. - Skills in appropriate software tools for the development of graphical interactive user interfaces are a plus. - Good skills in academic writing and reviewing scientific publications. - Excellent problem solving and interpersonal skills. - Good knowledge and interest in mining. - Practical mining experience is a plus. - Interest and ability to work in a multidisciplinary and multilingual environment. - Excellent knowledge of English, spoken and written. Proven skills e.g. study abroad, TOEFL test or similar is a plus. - Proficiency in Swedish to communicate with project partners is valuable. Information to be provided This position is a full-time position for two years with the possibility of extension up to 3 years. Place of employment: Luleå For further information, you are welcome to contact: Professor Anna Gustafson, anna.gustafson@ltu.se 0920-49 3309 Professor Håkan Schunnesson, hakan.schunnesson@ltu.se 0920-49 2696 Trade union representatives: SACO-S Diana Chroneer, 0920-49 2037 diana.chroneer@ltu.se OFR-S Marika Vesterberg, 0920-49 1721 marika.vesterberg@ltu.se How to apply Please apply for the scholarship via the application button below where you attach a personal letter and CV/resume and copies of verified diplomas. Please also attach a list of publications and contact details for three personal references. Attach a statement of purpose and the scientific work that you primarily want to use as support for your application. Write your application in English as we have English speakers in the recruitment team. Please mark your application with the reference number below. For the full advertisement: ltu.se/ledigajobb Last day to apply: August 15, 2025 Reference number: 2759-2025