Vacant job

Advanced Data Analysis and Modeling of Information from Computerized Underground Mining Machinery

Do you want to develop your research and teaching in an environment where collaboration with industry and society is second nature? Here, you will work with engaged colleagues, have access to modern research infrastructure, and enjoy excellent opportunities to attract external funding. You will be given 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 rock engineering. The university offers a unique opportunity to develop knowledge and research skills across the entire mining value chain – from exploration and mining, to metal production, and land restoration after mining operations have ceased.

Subject Description

Mining and rock engineering encompasses mining technology, rock mechanics, and rock engineering, including the properties of the rock mass, tunnel construction technology, design and dimensioning of mines and rock structures, as well as planning and production processes related to both mining extraction and infrastructure development.

Project Description

It is very important that you, as an applicant for this position, have a strong interest and knowledge in data analysis, filtering, and modeling based on large amounts of data. It is also crucial that you have a solid understanding of mining operations and mining systems to comprehend the end-user's requirements and needs when implementing developed technologies in an industrial environment.

Today's mining machinery has become more advanced with computerized measurement and control systems capable of monitoring and measuring machine performance. External equipment, such as 3D scanning, video recordings, and systems for measuring bucket weights, etc., which monitor production, are commonly used today. In modern mines, machinery such as drill rigs and loaders are often automated and controlled from central control rooms. Visualization and presentation of database-driven information to decision-makers and operators for active process control in a production environment is also a key part of utilizing this large volume of data.

Data logged from these rigs and loaders can provide detailed insights into the properties of the rock mass and the extracted material, thereby providing engineers and decision-makers with important basis for safety and productivity optimization.

For this position, mathematical, analytical, and problem-solving skills are crucial for understanding and leveraging this new data-intensive mining environment.

Responsibilities

As a postdoctoral researcher in mining and rock engineering, you will contribute to research, scientific publication, and pedagogical activities, as well as be part of our broad industrial network focusing on future collaborative projects, both national and international. We offer an 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 PhD degree or equivalent foreign degree is required. Your previous education should include mining and rock engineering or a similar subject suitable for the project description above.

It is meritorious if your degree was awarded no more than three years before the last day of application for this position. If there are special reasons, a degree awarded earlier may be considered equivalent, for example, in cases of various types of statutory leave.

In addition to a PhD in a relevant subject, the following selection criteria will be used:

- Documented knowledge in mining technology and production optimization.

- Documented mathematical, analytical, and problem-solving skills.

- Good knowledge of statistics, AI/ML, as well as mathematical modeling and programming.

- Good skills in academic writing and reviewing scientific publications.

- Excellent communication and social skills.

- Practical mining experience is meritorious.

- Interest in and ability to work in a multidisciplinary and multilingual environment.

- Good proficiency in English, both spoken and written. Documented skills such as study abroad, TOEFL test, or similar are meritorious.

Information

This position is a full-time employment for two years. Workplace: Luleå. Intended start date: By agreement, preferably around October 1, 2026.

For further information, you are welcome to contact:

Professor Anna Gustafson, 0920-49 3309, [email protected]

Professor Håkan Schunnesson, [email protected]

Union Representatives:

SACO-S Diana Chroneer, 0920-49 2037, [email protected]

OFR-S Marika Vesterberg, 0920-49 1721, [email protected]

Application

We prefer that you apply for the position via the button below, attaching a cover letter, CV/resume, and copies of verified degree certificates. Please mark your application with the reference number below. Both the application and degree certificates must be written in Swedish or English.

Last day of application: August 15, 2026

Reference number: 3320-2026