项目介绍

2024年6月28日

We are looking for a highly motivated researcher that would like to pursue a PhD in the areas of Interpretable Artificial Intelligence (IAI) and Autonomous Decision-Making to study and make significant contributions to the emerging field of Human-Robot Collaboration (HRC). HRC studies the most effective algorithms to enable robots to work safely and efficiently alongside with humans in shared spaces.

Join our multidisciplinary team to further investigate and propose innovative solutions to empower robots with the ability to make informed decisions in collaborative environments. If you are passionate about Interpretable AI, autonomous decision-making, and the future of human-robot collaboration, we strongly encourage you to apply!

Project description
Collaborative Robots (Cobots) are intended to interact directly with humans in shared and dynamic spaces. Meaning that humans and robots can work together in close proximity to achieve a common goal. What is limiting the deployment of Cobots to complex collaborative scenarios? An important research question is how to enable effective human-robot collaborations (HRC). A central challenge is to develop learning and reasoning methods to enable Cobots to autonomously make decisions, mirroring human’s ability to make quick, informed decisions in dynamic collaborative settings.

This project is addressing a major gap in the state-of-the-art in the field of Human-Robot Collaboration (HRC), which is to learn the automatic mapping between the learned mid-level representations (i.e., task operators) to low-level robotic executions (i.e. robot skills). One major problem is that these mid- and low-levels co-exist in different spaces, namely the problem space (robot/hardware agnostic) and execution space (robot/hardware dependent), respectively. Therefore, each space requires and produces different types of representations and dimensionality, making a complex non-isomorphic space mapping problem. Therefore, we aim that the Cobot learns the parameters and adapts its set of skills to execute the appropriate controllers.

Information about the division and the department
The position is within the Mechatronics and Automation groups at Chalmers University of Technology, where a team of dedicated PhD students, postdocs and senior researchers are actively pursuing research in the areas of semantic-based methods, high-level decision-making systems, Interpretable AI, and Robotics. The Mechatronics group is an integral part of the Department of Electrical Engineering (E2) which primarily focuses on modeling and developing efficient systems for extracting and processing information.

This position is financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP) which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry.

Major responsibilities
Your primary responsibility as a PhD student will be to pursue independent research and expand your capabilities and knowledge within the research domains covered by the project. You are expected to develop your own original scientific concepts and present the results of your research verbally at academic conferences and in written journal articles. You are also expected to collaborate with other team members and external researchers from academia and industry.

The PhD student will be part of the graduate school within WASP which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/

Read more about doctoral studies at Chalmers here.

Qualifications
By the starting date, the applicant should have:

• A master’s degree equivalent to at least 240 higher education credits in Electrical Engineering, Computer Sciences, Applied Math, or similar fields.
• A deep understanding and background in machine learning methods applied to the robotics domain.
• Good programming skills, preferably in C++ and experience with ROS (Robot Operating System). Additionally, knowledge on Python, Unity, and Prolog is also welcome.
• A genuine interest and curiosity in the subject, coupled with excellent oral and written English communication skills.

Meritorious experience and skills:
• Experience with teaching.
• The candidate should have experience with cross-disciplinary collaboration, as well as international exchange and demonstrated teamwork.
• It is meritorious if the candidate has peer-review publication(s) as first author.

Contract terms
This full-time position also involves specific department obligations, typically in the form of teaching, which accounts for approximately 20% of your working hours. This position is limited to a maximum of five years.

We offerChalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240378 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.

Application deadline: 2024-07-22

For questions, please contact:
Assoc. Prof. Karinne Ramirez Amaro, Systems and Control,
karinne@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   

Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
 

URL to this page
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=13033&rmlang=UK