Tenure-Track Professor in Artificial Intelligence
Aalto University School of Science (Helsinki, Finland) invites applications for a
Tenure-Track Professor in Artificial Intelligence
The vacancy at the Department of Computer Science is open to outstanding individuals who hold a doctorate and are interested in an excellent opportunity to pursue a successful scientific career. The position is targeted primarily at candidates for the Assistant Professor level. However, candidates with an outstanding record for Associate or Full Professor levels may be considered. While we expect most successful applicants to have carried out at least one postdoctoral period, all outstanding candidates will be considered.
We are looking for a professor working towards the next generation of Artificial Intelligence (AI). New abilities to learn from data and increases in computing power have set in motion an AI revolution whose full scope is immense and whose end is not in sight. As Aalto is presently investing strongly in fundamental AI research and the Finnish state is undertaking large applied AI initiatives, the Aalto Department of Computer Science is the right place to pursue the next generation of AI. We aspire to recruit a future leader in the area, with an inspiring vision for the next decades.
Our current strengths in the relevant technologies cover e.g. computational statistics (probabilistic modelling, Bayesian inference), statistical machine learning (kernel methods, deep learning, compressed sensing), combinatorial algorithms, optimisation and data mining, distributed computing, and computational logic (constraint-based search and optimisation).
Whilst Aalto University will consider strong applicants who will complement and add to our current offering, we would particularly welcome applicants who are conducting excellent research in areas including but not limited to: autonomous AI, interactive AI, human-in-the-loop AI, computational inference, computational learning theory, creativity, decision making, game theory, knowledge representation, machine learning, multi-agent systems, pattern recognition, planning and reasoning, reinforcement learning, search and optimisation, uncertainty.
Aalto University offers excellent opportunities and encouragement for collaboration with other fields, with local partners both at Aalto and University of Helsinki. In addition to its strong academic community, the Helsinki region is a vibrant technology and innovation hub with easy access to major application partners both private and governmental. Indeed, Finland currently ranks at the top of venture capital investments relative to GDP in Europe.
Aalto Department of Computer Science is among Europe’s top-20 CS departments, and is particularly strong in areas represented in the present call. The department hosts a national Centre of Excellence on Computational Inference Research (http://research.cs.aalto.fi/coin/), and the current faculty’s strength is apparent in e.g. the high volume of extremely competitive funding from the Academy of Finland (equivalent to National Science Foundation) and the European Research Council (ERC). The department attracts significant numbers of high-achieving international students into its MSc and PhD programmes, and as the foremost CS educator in Finland, it is home to the majority of the best Finnish CS students. In total, the department employs 44 professors with diverse interests, forming a fertile environment for cross-disciplinary collaborations. On a larger scale, as a technology-friendly, yet small country, Finland offers ample opportunities for low-overhead collaboration with industrial and government partners as well. A joint appointment at the Helsinki Institute for Information Technology HIIT (http://hiit.fi/), a joint research centre with the University of Helsinki, can be negotiated.
A person at any level of the academic tenure track system is expected to perform world‐class research, to teach, supervise and otherwise advance both graduate and undergraduate education, to be an active member of the international scientific community, and to exhibit academic leadership. Career advances on the tenure track are based on scheduled performance assessments, which take into account the candidate’s merits in all these areas.
The position comes with a competitive start-up package. The salary for the position follows the salary scale in use at Aalto University, but applicants may also provide salary requirements.
How to Apply
Applications with attachments for the tenure track position are to be addressed to the Dean of the Aalto University School of Science and submitted through the link below ('Apply for this job'). Review of the position will begin on 25 January 2018. The position will remain open until filled. Applications shall consist of one single pdf file, with file name "lastname_firstname_application.pdf". All material should be in English.
The application material shall include the following appendices:
- cover letter that includes a summary of merits and most important achievements,
- curriculum vitae (with contact details; recommended maximum length two pages),
- research statement (recommended maximum length four pages),
- teaching statement (recommended maximum length four pages),
- names, positions, affiliations and e-mail addresses of five senior academic people available for providing recommendation letters,
- the web address of the applicant’s Google Scholar Profile and Researcher ID,
- list of publications including:
- five most important publications in ranked order (1,...,5), with links to their pdf versions, and
- all publications categorised as follows:
- peer-reviewed journals
- peer-reviewed conferences
- other publications
The applicants will be reviewed on the basis of their research achievements in relation to career stage; teaching credentials and activity in scientific community. Shortlisted applicants will be asked to supplement their applications with a more detailed research and teaching plan, and material that describe their merits in these areas in more detail.
Please contact Professor Lauri Savioja (departmental information), tel. +358 50 590 5209, or HR Coordinator Stefan Ehrstedt (application process), tel. +358 50 340 7662. E-mails: firstname.lastname@example.org.
Helsinki, 30 November 2017
The Department of Computer Science
The Department of Computer Science provides world-class research and education in modern computer science to foster future science, engineering and society. The work combines fundamental research with innovative applications. The department is known for its innovative and consistently high quality work. It is matching the very best teams in the world and is a coveted partner in international collaborations. Furthermore, the department is recognized for its fresh and dynamic culture and low bureaucracy.
The broad research competence areas of the department are:
- Algorithms, Logic and Computation
- Complex Systems
- Data Science and Big Data
- Digital Health
- Distributed Systems, Mobile Computing and Security
- Human-Computer Interaction, Games, Graphics and Audio
- Internet of Things
- Machine Learning, Data Mining & Probabilistic Modelling
- Security and Privacy
- Software and Service Engineering
- Software Systems and Technologies
Read more about the department at http://cs.aalto.fi/.
Tenure track in Aalto University
The tenure track is open to talented individuals who have excellent potential for a scientific career. Individuals placed on the Aalto University professorial tenure track have the possibility to advance in their career through regular performance assessments, which take into account their merits in all areas of their scope of duty. Launched in 2010, the tenure track has attracted a wide range of international applicants, giving Aalto University the possibility of recruiting top experts and young research talent to join the Aalto University community. The track consists of two assistant professor levels, associate professor and full professor. Read more about the Aalto University tenure track system at http://www.aalto.fi/en/about/careers/career_at_aalto/tenure_track/.
Living up to our values
As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. The Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.