The Applied Artificial Intelligence (AAI) group is focused on intelligent conversational agents, autonomous robots, and automated transportation on road, rail, and sea, with applications in many different fields and with a special emphasis on interpretable approaches rather than black box models. The group is working in a rapidly growing research area and is expanding both in terms of research and teaching. We are now looking for an associate professor who will be part of, and strengthen, our research and teaching portfolio.
Information about the department and the research
At the Department of Mechanics and Maritime Sciences (M2) we conduct fundamental and applied research in areas such as safety, energy efficiency and material optimization of sustainable technology solutions across all modes of transport.
The division of Vehicle Engineering and Autonomous Systems (VEAS) is one of seven divisions at the department. Our focus is on engineering of systems with applications in vehicles and robots. Our strengths are the knowledge of finding solutions to authentic problems, often with the aim to provide innovative solutions to problems of industrial and societal relevance, by means of theory, modelling, simulations, and experimental work. The division has 8 faculty members, 17 PhD students, and several post-docs and researchers. The main research areas are within energy-efficient, safe, and adaptive vehicles, and autonomous systems operating in unstructured environments.
At VEAS, The Applied Artificial Intelligence (AAI) group is focused on intelligent conversational agents, autonomous robots, and automated transportation on road, rail, and sea, with applications in many different fields and with a special emphasis on interpretable approaches rather than black box models. Most of our projects involve biologically inspired computation, for example evolutionary optimization and neural networks. However, the group is niched towards interpretable and explainable approaches to artificial intelligence (AI), rather than the currently popular black box approaches. One of our main current topics is the development of an interpretable dialogue manager for human-machine interaction. We operate quite broadly, with applications in many different fields, e.g. human-machine interaction and mobile robotics with applications in, for example, health care, automated driving, automated rail transport, as well maritime applications. The successful candidate is expected to be able to carry out research in any of the fields listed above.
More details of the departmental research activities may be found here.
Research - The successful candidate will be expected both to contribute to existing projects in the group, and to formulate new projects to secure research funding for himself or herself, and others (e.g. PhD students and postdocs) in due course, all within the fields relevant to the AAI group. Your work may involve project management to some degree, as well as supervising students at master and PhD levels. A great degree of independence and initiative is expected, but also the ability to work as a team member in projects managed by someone else in the group.
Teaching - The successful candidate will be expected to participate in teaching on the master’s level in various functions, primarily as lecturer or examiner. It is possible that full responsibility for a new course in artificial intelligence will be given. Other responsibilities include to participate in the improvement of the AAI group’s courses and in continuing education.
The successful candidate will be expected to take part in leadership and administration within the department and/or the university. Another important aspect involves collaboration within academia, industry and with society at large.
To apply you must have the full range of required qualifications, experience and abilities to fulfil the main responsibilities of the position.
- A PhD degree in a field relevant for the position.
- A strong interest in interpretable approaches to artificial intelligence.
- A documented pedagogical track record in courses involving applied artificial intelligence or related field, as well as a documented track record regarding high-quality, independent scientific research, evidenced by publication records in high-quality journals and conferences.
- Strong and well-documented programming skills in at least one programming language.
- Excellent command of English, both written and spoken.
- Research experience involving interpretable and explainable approaches to AI.
- Research experience related to conversational AI.
- Experience of PhD student supervision.
- A documented track record of successful grant applications.
- Programming skills in more than one programming language.
To succeed in this position, we believe that you are a motivated person. You are creative, can work independently, and have a problem-solving analytical ability.
For all Associate Professors at Chalmers
The position of Associate Professor requires scientific expertise that is considerably higher than that required for a doctoral degree (corresponding to admission as "oavlönad docent") and at least 15 higher education credits in teaching and learning in higher education, as well as a course in supervision of research students. External candidates are expected to complete these educational requirements within two years after employment.
You must be accustomed to teaching and be a skilled educator. For this reason, we place a great deal of emphasis on your pedagogical portfolio. Experience from performing academic research or qualified research and development in industry/the public sector is a requirement.
The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native language, you must be able to teach in Swedish on the undergraduate level after two years. Chalmers offers Swedish courses.
Full-time permanent employment.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Chalmers aims to actively improve our gender balance.
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 20210152 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)
• Complete list of publications, (Divided into peer reviewed/non peer reviewed journal articles,conference contributions, etc)
• 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 briefly, focusing on aspects relevant for the position, especially your experience of, and interest in, interpretable and explainable approaches to AI. Note: Your letter must include some statement related to interpretable AI.
• Describe your previous research fields and main research results, emphasizing those of your research efforts (if any) that are relevant for the position
• Describe how you would contribute to research and teaching at Chalmers, keeping in mind the description above regarding the group’s activities
Pedagogical qualifications: (Please name the document as: Pedagogical portfolio, Family name, Ref number)
• Please use the specified format for the Pedagogical Portfolio when you compile your pedagogical qualifications.
• Certificates of courses completed in pedagogy for higher education resulting in:
- Diploma in Teaching and Learning in Higher Education 15 HEC + Supervising Research Students 3 HEC
- Or 15 HEC courses in teaching and learning in higher education + Supervising Research Students 3 HEC
• Copies of your most relevant publications in full format (maximum of ten 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 ten 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: 31 August 2021
For questions, please contact:
Prof. Mattias Wahde, email@example.com
Prof. Simone Sebben, firstname.lastname@example.org
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
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