PhD Student in Robotics and Artificial Intelligence

Publiceringsdatum: 2024-12-02

Vill du ta steget att arbeta som doktorand hos Luleå Tekniska Universitet? Nu har du möjligheten. Luleå Tekniska Universitet söker en medarbetare på heltid som vill arbeta 6 månader eller längre. Kan det vara du? Att bo i närheten av Luleå kan vara en fördel för denna position, så om du redan bor i området bör du överväga att söka jobbet.

Om du är intresserad av en karriär inom doktorand, ta en titt på den lediga tjänsten som Luleå Tekniska Universitet erbjuder för att se om det är en matchning. Sök jobbet som doktorand hos Luleå Tekniska Universitet och ta chansen att ta din karriär till nästa nivå. Ansök senast torsdag den sextonde januari 2025.

Jobbannons

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 2 billion per year. We currently have 1,500 employees and 17,900 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.PhD Student in Robotics and Artificial Intelligence, Ref nr LTU-4797-2024

The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for a PhD student to contribute to our growing activities. The RAI team is conducting fundamental research in all the aspects of robotics with a specific focus on aerial, space and bioinspired robotics.

Subject description

Robotics and artificial intelligence aim to develop novel robotic systems that are characterised by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks.

Project description

The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects.

Duties

As a PhD student you will perform research with substantial theoretical and experimental components that should be published in peer-reviewed major international journals and at major conferences. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy and all activities will be linked with National, European and worldwide R&D Projects.

The research topic is in the area of Robotics and Artificial Intelligence. More specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development, with the following research areas providing a template for relevant directions:

Research Topics: Robot Navigation and Motion Planning in Unknown Environments

a) Robust Obstacle Avoidance in complex and dynamic environments

• Body- & Dynamics-based local navigation
• Traversability and terrain analysis
• Scene awareness for terrain and obstacle perception

b)Robotic Exploration Algorithms

• Next-best-trajectory planning
• Source Localization
• Semantic Exploration

c) Interaction & Motion Planning

• Manipulator Motion Planning in obstacle-dense Environments
• Pick & Place in unknown and dynamic scenes

d) Mission-specific modules for unknown environment applications, such as autonomous firefighting, robotic sampling in hazardous areas, or search-and-rescue operations.

For further information about a specific subject see general curricula for the Board of the faculty of science and technology

Qualifications

To be qualified for the position, you must have a MSc degree in Electrical or Mechanical Engineering or Computer Science or Agricultural engineering or related subject. Perfect scientific skills with excellence in real life experimentation, as well as very good communication skills are considered as a strong plus. You will represent the group in different occasions, both in Sweden and world-wide, hence very good knowledge in English is a must.

Further information

Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%.

For further information please contact:

George Nikolakopoulos, Chaired Professor, (+46 )920 49 1298 geonik@ltu.se

Union representatives:

SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se

OFR-S Lars Frisk, (+46)920-49 1792 lars.frisk@ltu.se

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

Application

We prefer that you apply for this position by clicking on the apply button below. The application should include a CV with a full description of all the scientific merits of the candidate, motivation letter, list of 2 persons that could provide recommendation for the candidate and copies of verified diplomas from high school and universities. The diplomas must be written in Swedish or English. Your application must be written in English. Mark your application with the reference number below.

Final day to apply: 16 January, 2025 

Reference number: LTU-4797-2024