Postdoctoral fellow in Mining and Rock Engineering
Luleå, Sverige
Type of Employment Full-time
Job position Research assistant
Work model On location
Application due date 30 August 2024
Are you the one?
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 1.9 billion per year. We currently have 1,840 employees and 17,670 students. In the coming years, multi-billion sums will be invested in Norrbotten and Västerbotten in large 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 training to match the skills that are in demand. We hope you will help us build the sustainable companies and communities 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 within the entire mountain range - from exploration, mining, metal production, to restoration of land after mining operations have ended. Subject description Mining and rock construction technology includes mining technology, rock technology and rock mechanics, including rock mass properties, tunnel construction technology, design and dimensioning of mines and rock facilities, as well as planning and production processes linked to both mining and infrastructure development. Project description In underground mines, wheel loaders, so-called LHD machines, are usually used to load and transport ore. Today, these machines are advanced with computerized measurement and control systems that can monitor the performance of the machine and also estimate the properties of the ore in the bucket. Modern drilling technology is also often automated and monitored and controlled from central control rooms. The data logged from these rigs can provide detailed knowledge of the properties of the drilled rock mass and can thus provide engineers and decision makers with important information for safety and productivity optimization. Visualization and presentation of data-based information to decision-makers and operators for active process control in a production environment is also an important part of the utilization of this large amount of data. It is therefore very important that you who apply for this position have a great interest in analysis and modeling based on large amounts of data. It is also important to 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. Visualization and presentation of data-based information to managers and operators for active decision-making in a production environment is also a very important part. As a postdoctoral fellow, you will be involved in the improvement, analysis and development of existing traction control model (adaptive to different loading conditions e.g. autonomous loading, truck loading, fragmentation, different mining areas, machine and site sizes, including GUI for loading control. The research also involves data analysis, filtering of large amounts of data, etc. Job duties As a postdoctoral fellow in Mining and Mining Engineering, you will contribute to research, scientific publishing, 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 as well as interesting research projects carried out in collaboration with industry. Qualifications To be eligible for employment, a doctoral degree or an equivalent foreign degree is required. Furthermore, your previous education must include mining and rock technology or a similar subject that is suitable for the project description above. It is advantageous if your degree has been completed no more than three years before the application deadline for this position. If there are special reasons, it can come into question as having previously completed a doctoral degree, for example in the case of various types of statutory leave. Evaluation criteria: In addition to a PhD in a relevant subject, the following selection criteria will be used;  • Good knowledge of probability theory, statistics, AI/ML and mathematical modelling. • Good knowledge, skills and interest in advanced data analysis and model development. • Documented skills in programming In e.g. Matlab, Python or similar. • Skills in appropriate software tools for developing graphical interactive user interfaces is a plus. • Good knowledge of academic writing and review of scientific publications. • Excellent problem solving and collaborative skills. • Good knowledge and interest in mining. • Practical mining experience is a plus. • Interest in and ability to work in an interdisciplinary and multilingual environment. • Excellent knowledge of English, spoken and written. Documented skills such as study abroad, TOEFL test or similar are a plus. • Skills in Swedish to communicate with project partners are valuable. Information Temporary employment 2 years full time with location in Luleå. Access by agreement. For further information, please contact: Anna Gustafson, Professor, 0920-49 3309 Håkan Schunesson, Professor, 0920-49 1696 Union representatives: SACO-S Kjell Johansson, 0920-49 1529 OFR-S Lars Frisk, 0920-49 1792 Application Please apply for the scholarship via the application button below where you attach a personal letter as well as a CV/curriculum vitae and copies of verified diplomas. Also attach a list of publications and contact details for three personal references. Attach an account of the 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 group. Please mark your application with the reference number below. Application deadline: 30 August 2024 Reference number: 2688–2024