PhD Student in Robotics and Artificial Intelligence

26 Mar 2024
Job Information

Organisation/Company

Luleå University of Technology

Research Field

Engineering » Other

Researcher Profile

First Stage Researcher (R1)

Country

Sweden

Application Deadline

15 Apr 2024 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

583--1-7956

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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 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.

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 four PhD students 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 participation in multiple R&D&I projects, while RAI is also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL.

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 aerial robotics and their 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 control development in the following research areas:

Generative AI (GAI) interfaces for intelligent high-level decision making in Robotics
-GAI-guided mission planning and online decision making in complex environments
-Efficient and robust translation between GAI and robots with reliable two-way interfaces
-Dynamics-aware mission planning and execution with multi-modal sensor data

Multi-sensor perception and semantic segmentation of complex environments using ML algorithms
-Semantic segmentation of dense and sparce point clouds
-Multiple abstraction layers mapping, scene graph generation and digital twin creation
-Traversability analysis and dynamic object tracking  for environmental-based risk-aware navigation
-Learning-based large scale collaborative SLAM and coverage path planning for large-scale dense reconstruction

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, Mechanical Engineering, Computer Science, Agricultural engineering or related subject. Good scientific skills 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:
Chaired Professor George Nikolakopoulos, +46 (0)920 491298, [email protected]

Union representatives:
SACO-S Kjell Johansson, [email protected] +46 (0)920 491529
OFR-S Lars Frisk, [email protected] +46 (0)920 491792

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.

Closing date for application: April 16, 2024
Reference number: 1411-2024

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Good

Research Field

Engineering » Other

Years of Research Experience

1 - 4

Additional Information
Work Location(s)

Number of offers available

2

Company/Institute

Luleå University of Technology

Country

Sweden

City

Luleå

Postal Code

97187

Street

Lulea University of Technology

Where to apply

Website

https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828…

Contact

City

Luleå

Street

Lulea University of Technology

Postal Code

97187

STATUS: EXPIRED