Ref REF 2023-0317
Are you intrigued by the captivating intersection of perception and decision-making, where machine learning and automatic control unite? Do you envision yourself contributing to the development of innovative solutions for controlling fleets of mobile robots equipped with robotic manipulators, designed for seamless human interaction? If so, consider joining our international team of researchers on this groundbreaking PhD project, and help shape the future of human-robot collaboration.
Project description Are you passionate about advancing the field of cyber-physical systems? We have an exciting opportunity for you to join our cutting-edge research project! We’re looking for dedicated and motivated individuals to help us develop innovative testing methods for complex systems. In this project, you will have the chance to build on our previous work in black-box testing, while also exploring new frontiers by combining model-based and data-driven approaches to learn the unknown aspects of the system. You will be working at the intersection of multiple disciplines, leveraging optimization-based falsification techniques to assess the correctness of these intricate cyber-physical systems. This is an opportunity to get a challenge and to make a real impact on the future of autonomous systems, such as self-driving cars.
Information about the department The Department of Electrical Engineering is characterized by a dynamic and international work environment with about 220 employees from more than 20 countries, with extensive national and international research collaborations with academia, industry and society. The department provides about 100 courses, including undergraduate courses in Computer Vision, Image Analysis and Deep Machine Learning.
Major responsibilities As a part of this project, you will join a diverse team of PhD students and senior researchers from both industry and academia. Your primary responsibilities will involve conducting research, complemented by some teaching and collaborative engagements with our partners.At Chalmers, a PhD student position typically spans five years, with an allocation of 80% of your time dedicated to research activities and the remaining 20% to departmental tasks such as teaching.
Qualifications To qualify for the position, you must have a master’s level degree corresponding to at least 240 higher education credits in automatic control and/or machine learning.The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.
Contract terms Full-time temporary employment. The position is limited to a maximum of five 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 marked with Ref 20230331 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, Ref. number)
- 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
- Copies of bachelor and/or master’s thesis.
- Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.
- Please use the button at the foot of the page to reach the application form.
Application deadline: 15 June, 2023
For questions, please contact: Prof. Martin Fabian, Division of Systems and Control, firstname.lastname@example.org, +46 31-7723716
Prof. Knut Åkesson, Division of Systems and Control, email@example.com, +46 31-7723717.
*** 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 conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!