Chalmers University of Technology is significantly strengthening its expertise and excellence within artificial intelligence (AI) with the aim of becoming a world-class hub for research, education, and innovation in AI.
Our AI initiative is coordinated by the Chalmers AI Research Centre (CHAIR), which was established in January 2019 through a 300 million SEK investment by the Chalmers University of Technology Foundation.
As a part of this initiative, Chalmers is now recruiting an Assistant Professor within AI/Machine Learning for Autonomous Systems.
The position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program ever. WASP provides a platform for academic research and education, fostering interaction with Sweden’s leading technology companies. WASP has the ambition to strengthen and develop Sweden’s knowledge and competence in the areas of AI, in particular machine learning (ML) and deep learning (DL), through an international recruitment program to attract new talent to Sweden. http://wasp-sweden.org/
The position of interest includes different areas of and related to AI/ML/DL including AI foundations, data science, visualisation, information systems, software engineering and computer science, or applied areas, preferable related to prioritized area at Chalmers and CHAIR: Transport, Life Science and Health, Automation and Internet of Things.
You are expected to build your own research excellence, and have active collaboration with researchers at Chalmers, in particular in the CHAIR environment.
As an AI researcher you will:
- Develop new research projects, and participate in and lead selected existing research projects
- Supervise PhD students and postdoctoral researchers
- Apply for external research grants as principal investigator
- Cooperate with international researchers and be active in the research community
- Cooperate with Swedish and international industry in AI-related projects
- Be involved in teaching activities
Your time will be divided in the following way:
80% as researcher including performing and leading research projects, serving the research community, and professional development activities for your academic career.
20% for teaching duties
Included in the position is a starting package with PhD student(s)/postdoc(s) according to the agreement with WASP and your requests.
Your host department will be decided by your research background and preference. Example of departments of interest: Computer Science and Engineering, Electrical Engineering, Mathematical Sciences, but not limited to those.
The appointment as Assistant Professor is a four-year, entry-level, faculty position with tenure track, whereby the employee has the opportunity to acquire both pedagogical and scientific qualifications. An Assistant Professor is expected to improve their ability to formulate and solve scientific problems, to publish scientific articles, and to develop their skills in teaching and supervision, by means of both practical training and independent study. The aim is to achieve the level of Associate Professor within four years and, if successful, the employee will be offered a permanent faculty position at Chalmers.
To qualify for the position of Assistant Professor, you must have a doctoral degree in a relevant field, and the degree should not be older than seven years, unless due to parental leave, military service or similar. You are expected to have some experience with teaching, and to demonstrate good potential to excel within research and education.
Additionally, you should have
• PhD degree in a field relevant to machine learning. Your PhD degree certificate must be provided.
• Post-doctoral appointment or the equivalent at another university, institute or organisation other than where the your were a doctoral student.
• Conducted research at the highest level, demonstrated by e.g. publications in the leading conferences and journals on machine learning
• Demonstrated pedagogical skills, e.g. through development of teaching materials, experience of teaching or course evaluations. Documentation demonstating such pedagogical experience and skills should be provided with your application.
• Demonstrated ability to obtain national and international networks and collaborations
• Demonstrated ability to attract external funding
We encourage applicants to be open with regards to if they have applied to the position at more than one of the WASP universities.
The position requires sound verbal and written communication skills in English, as all of our Masters programs are taught in English. As Chalmers undergraduate education is held in Swedish, and Swedish is the administrative working language at the university, Chalmers offers Swedish courses for non-Swedish speaking staff.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
The application should be marked with Ref 20190440 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document as: CV, Family name, Ref. number)
• CV, include complete list of publications and PhD degree certificate
• Previous teaching and pedagogical experiences, including relevant documentation
• Other relevant experience, for example previous employments or leadership qualifications, positions of trust
• Two reference persons whom 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 research fields and main research results
• Describe your future professional goals and future research focus
• Copies of your most relevant publications in full format (maximum of five publications). It is a good idea to attach the files as a PDF or compress them into a Zip file.
• Copies of a maximum of five other publications that substantiate your other qualifications (for example, educational publications and popular science articles).
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
Application deadline: 1st November, 2019
For questions, please contact:
Ivica Crnkovic, Director CHAIR
Phone +46 31-772 60 76
*** 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 eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, 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!
|Title||Assistant Professor with tenure-track within AI|
|Employer||Chalmers University of Technology|
|Job location||Maskingränd 2, 412 58 Göteborg|
|Published||September 5, 2019|
|Application deadline||November 1, 2019|
|Job types||Assistant / Associate Professor,   Tenure Track  |
|Fields||Artificial Intelligence,   Information Systems (Business Informatics),   Software Engineering,   Electrical Engineering,   Computational Sciences,   Machine Learning  |