Postdoc position in Mining and Rock Engineering

Luleå tekniska universitet; Luleå kommun; On-site; SEK 50,000 - 70,000; Full time

Job summary

Luleå tekniska universitet is looking for a Postdoc in Mining Engineering with a focus on advanced data mining of computerized mining equipment. This full-time position is fixed-term for two years, starting preferably around October 1, 2026.

The role involves contributing to research and pedagogical activities, working in a dynamic environment with extensive collaboration with industry. Candidates should have a solid understanding of mining systems and analytical skills for data interpretation.

Qualifications

• Knowledge in Mining Engineering and production optimisation.
• Good knowledge of statistics, AI/ML, and mathematical modelling.
• Good skills in English speaking and writing, TOEFL or similar is a plus.

Responsibilities

• Contribute to research, publication, and pedagogical activities.
• Explore industrial and research contacts for collaborative projects.

Skills

Mining Engineering knowledge

Mathematical skills

Analytical skills

Problem-solving skills

Statistics knowledge

AI/ML knowledge

Mathematical modelling skills

Academic writing

Communication skills

Interpersonal skills

Job description

Overview

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.

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. Today’s 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 optimisation. 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

• Documented knowledge in Mining Engineering and production optimisation
• Documented mathematical, analytical and problem‑solving skills.
• Good knowledge of statistics, AI/ML, and mathematical modelling 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.

Contact

For further information, contact: Professor Anna Gustafson, [e-mail] or Professor Håkan Schunnesson, [e-mail].

Application Deadline

Closing date for applications: August 15, 2026. Reference number: 3320‑2026.