Interpretable AI for Human-Centered Collaboration and Decision-Making

We are looking for a highly motivated Postdoctoral researcher 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
Interpretable methods are crucial in human-centered collaboration because they make a robot's decision-making processes transparent and understandable to humans. In collaborative settings, humans need to comprehend how robots make decisions to confidently work alongside them, detect errors, and provide feedback. By making a robot's reasoning clear and accessible, interpretable methods enhance decision-making, as users can see how and why certain decisions are made, fostering more effective human-robot teamwork. This transparency builds trust between humans and robots. When a robot's actions are explainable, humans can effectively monitor, validate, and correct its outputs, leading to more reliable and accurate outcomes.

The goal of this postdoctoral position is to enhance robot decision-making through interpretable methods and reasoning to advance human-centered AI for real-world robotics applications. Specifically, we aim to develop personalized, adaptive AI models that align robot behavior with individual user preferences and expertise. This will enable robots to adaptively improve their performance through human-in-the-loop learning

About the division and the department
The position is within the Mechatronics group 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 methods, 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. 

Major responsibilities
Your primary responsibility as a Postdoctoral researcher will be to pursue independent research and expand your capabilities and knowledge within the research domains covered by this 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.

Qualifications
By the starting date, the applicant should have:


• A Ph.D. degree in Electrical Engineering, Computer Science, Applied Mathematics, or related fields.
• A strong background in learning and reasoning techniques, decision-making methods for robotics, interpretable methods for robotics, and machine learning.
• A solid understanding of robot modelling and control, embedded systems, and human-robot interaction.
• Proficiency in learning methods, robotics, and mathematics.
• Strong programming skills, preferably in C++, with experience using ROS (Robot Operating System). Knowledge of Python, Unity, and Prolog is a plus.
• A genuine curiosity and passion for the subject, along with excellent oral and written communication skills in English.
• Strong communication and interpersonal abilities, with a demonstrated capacity to work independently and collaboratively in team settings.
• Experience with cross-disciplinary collaboration, international exchange, and demonstrated teamwork.
• A strong publication record as the first author in peer-reviewed journals or conference proceedings.

• The position also requires excellent verbal and written communication skills in English, as well as proven experience in problem-solving and analytical thinking.

Meritorious experience and skills:


• Experience with teaching or mentoring.
• Experience in leading teams or projects.
• Experience with international collaboration.
• It is meritorious if the candidate has also some experience writing proposals.

Contract terms
This full-time postdoctoral position is limited to a maximum of two years.

We offer
Chalmers 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 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 as: CV, Surname) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

Other documents:
• Attested copies of completed education, grades and other certificates.

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: 2025-01-31
 
For questions, please contact:
Associate Professor Karinne Ramirez-Amaro, Systems and Control, karinne@chalmers.se