Luleå University of Technology is experiencing strong growth with world-leading competence in several areas of research. Our research is conducted in close collaboration with industries such as LKAB, Ericsson, Boliden, ABB, Epiroc and leading international universities. Luleå University of Technology has a total turnover of SEK 1.8 billion per year. We currently have 1 770 employees and 17 200 students.
We shape the future through innovative education and groundbreaking research. Drawing on our location in the Arctic region, we create global societal benefit.
Digitalization has gain widespread acceptance in mining industry resulting in massive amount of operational data. Information and communication technologies e.g. digital imaging, remote sensing, material tracking, production monitoring etc. are important components of modern mining systems. Moreover, future mining operations will become even more automated generating more complex datasets. To fully benefit from these technologies, it is important to analyze the enormous data being produced from these technologies to refine mining processes. Therefore, it is very important for the interested candidates to have a keen interest in analysis and modelling based on large datasets. However, along with strong data analysis and modelling skills, a solid understanding of mining and its constituent systems is essential to understand the end users requirements and needs, which is vital to achieve realistic and sustainable new developments in the mining industry.
We are now seeking a highly motivated PhD student who can contribute towards science and technology in Digital Mining and its applications in underground loading and transportation systems.
The research subject Mining and Rock Engineering comprises the mechanical and physical properties and the behaviour of rock and rock masses, design of rock constructions, blasting, fragmentation, tunnelling, mining and maintenance of rock constructions.
In underground mines wheel loaders, known as LHD machines, are mostly used to load and transport the ore. Today these machines have become more advanced with computerized measurement and control systems that can monitor and measure the machine performance and also properties of the ore contained in the bucket. The PhD candidate will be involved in data driven development and optimization of the loading and transportation systems in underground mining, including adaptation to different loading conditions. The PhD student will be working on bucket scanning, optimizing bucket fill factor, bucket weight calculation and the impact of fragmentation on the loading process.
As a PhD student you are expected to perform both theoretical work and field work in close cooperation with industrial partners. You will also communicate your results at national and international conferences and in scientific journals. In addition, you can have the opportunity to teach at different levels at the University.
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.
The PhD student will conclude a licentiate degree halfway through their studies. PhD students will be employed for 4 years (can be increased with teaching and division duties with max 20%). Employment includes a market competitive salary as well as the public service benefits in Sweden. Regulations can be found in Högskoleförordningen 5 kap §§ 1-7. Local guidelines for salary exist.
Eligible candidates for this post as a doctoral student must hold a Master of Science in Mining Engineering with a strong interest in data analysis or a Master of Science in Computer Engineering with a knowledge in Mining Engineering or equivalent education and background in relevant subjects.
An individual fulfills the general eligibility requirements for the third-cycle educational program when he or she 1) has completed a second-cycle degree, 2) has completed higher education courses worth at least 240 credits, of which at least 60 are for second-cycle courses, or 3) in some other manner, in this country or abroad, has acquired the equivalent qualifications.
In addition to good grades in relevant subjects from the undergraduate degree, the following selection criteria will be used;
- Good knowledge and interest in mining.
- Practical mining-related experience is a plus.
- Good knowledge, skills and interest in computerized data analysis and model development.
- Excellent problem solving and interpersonal skills.
- Interest in and ability to work in a multidisciplinary and multilingual environment.
- Excellent skills in English writing. Documented good results from TOEFL-test, IELTS or similar is a plus.
- Knowledge of Swedish to communicate in industrial projects is valued, courses in Swedish are available and encouraged.
For further information about a specific subject see; General curricula for the Board of the faculty of science and technology
Provided that the qualifications are the same, the underrepresented gender will be given priority.
For further information about the position, please contact, Associate Professor Anna Gustafson, firstname.lastname@example.org +46 920-493309. Professor Håkan Schunnesson, email@example.com
Union representatives: SACO-S Kjell Johansson (+46)920-49 1529 firstname.lastname@example.org OFR-S Lars Frisk, 0920-49 1792 email@example.com
In case of different interpretations of the English and Swedish versions of this announcement, the English version takes precedence.
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, results from English proficiency tests. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.
Reference number: 1125-2021
Last day of application: 15 may 2021
URL to this pagehttps://www.ltu.se/ltu/Lediga-jobb?l=en&rmpage=job&rmjob=4609&rmlang=UK