Finnish Center for Artificial Intelligence FCAI (https://fcai.fi) is searching for exceptional postdoctoral researchers and research fellows to tackle complex and exciting problems in the field of machine learning. Come and join us to create the next generation of AI that is data-efficient, trustworthy and understandable!
FCAI is a vibrant research center for Artificial Intelligence in Helsinki, bringing together the expertise in AI research from both academia and industry. Hundreds of researchers are involved in various research and educational activities, and dozens of industrial actors collaborate in joint initiatives. Moreover, as the birthplace of Linux, and the home base of Nokia Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe), Helsinki is the largest ecosystem of high-tech companies and R&D centers in Northern Europe.
FCAI is initiated by Aalto University, University of Helsinki, and VTT Technical Research Centre of Finland. It has been selected as one of the prestigious Flagships of the Academy of Finland, a status granted to very few selected centers of excellence with high societal impact. The total budget of FCAI is 250 M€ over the next 8 years.
RESEARCH PROGRAMS (for more information see https://fcai.fi/research/)
FCAI research agenda builds on our unique expertise in machine learning, and is spearheaded by 5 research programs with multiple research groups.
1. Agile probabilistic AI develops an interactive and AI-assisted process for building new AI models with practical probabilistic programming. Read more at https://fcai.fi/agile-probabilistic
Keywords: Probabilistic programming; robust and automated Bayesian machine learning. Several professors contribute. Coordinating professor: Aki Vehtari
2. Simulator-based inference develops methodology for the new AI having efficient, interpretable reasoning capability, by cross-breeding modern machine learning and simulator-based inference. Read more at https://fcai.fi/simulator-based
Keywords: Approximate Bayesian computation ABC; likelihood-free inference; generative adversarial networks (GAN); applications in many fields including medicine, materials design, visualization, and business.
Several professors contribute. Coordinating professor: Jukka Corander
3. Next generation data-efficient deep learning develops methods which harness the power of deep learning while achieving good results with less training data and in particular less human supervision. Read more at https://fcai.fi/deep-learning
Keywords: Deep reinforcement learning; semi-supervised learning; simulation methods.
Several professors contribute. Coordination: Harri Valpola
4. Privacy-preserving and secure AI develops the new principles and techniques needed for privacy-preserving machine learning and the tools for building trustworthy and secure AI systems. Read more at https://fcai.fi/privacy-preserving-and-secure
Keywords: Privacy-preserving machine learning; differential privacy; adversarial machine learning.
Several professors contribute. Coordinating professor: Antti Honkela
5. Interactive AI enables AI that people can naturally work and solve problems with, and which demonstrates the ability to better understand our goals and abilities, takes initiative more sensitively, aligns its objectives with us, and supports us. Read more at https://fcai.fi/interactive-ai
Keywords: Interactive machine learning; reinforcement learning and computational rationality; cognitive modelling; probabilistic programming for behavioral sciences.
Several professors contribute. Coordinating professor: Antti Oulasvirta
READY TO APPLY?
Please submit your application in https://rekry.saima.fi/aaltohome/aew.html?did=5900&lang=fi&job_id=2329&jc=6. Choose in the application form one or more of the research programs described above and explain in the motivation letter how you could contribute to the selected research area(s).
A letter of motivation describing your previous research experience and future research interests linked with the FCAI research programs. Maximum length: 1 page.
List of publications
Contact details of at least 2 senior academics available to provide references.
A transcript of the doctoral studies and degree certificate of the PhD degree
All material should be submitted in English. Short-listed candidates may be invited for an interview in Helsinki or via skype.
We will start processing the applications in May 14 so please apply quickly. The call will remain open until the positions are filled. By applying to this call, organized by the Finnish Center for Artificial Intelligence, you apply with one application to both Aalto University and the University of Helsinki. The employing university will be determined according to the location of the supervising professors.
FCAI supports the principles of equal opportunity and affirmative action. Qualified candidates from all backgrounds are encouraged to apply.
Candidates should have or be close to having a PhD in Computer Science, Statistics, Data Science or a related quantitative field and are expected to have an excellent track record in scientific research in one or several fields relevant to the position. Good command of English is a necessary prerequisite. In the review process, particular emphasis is put on the quality of the candidate's previous research and international experience, together with the substance, innovativeness, and feasibility of the research interests, and their relevance to FCAI research programs. Efficient and successful completion of studies is considered an additional merit.
COMPENSATION, WORKING HOURS AND PLACE OF WORK
The salary for a postdoctoral researcher starts typically from 3 500 EUR per month, and increases based on experience. In addition to the salary, the contract includes occupational healthcare benefits, and Finland has a comprehensive social security system. The positions are located at the campuses of Aalto University and the University of Helsinki.
The selected candidates will be appointed for fixed-term positions, typically for two years with an option for renewal. For exceptional candidates, a longer-term Research Fellow position can be considered. The length of the contract and starting and ending dates are negotiable. In addition to research work, the hired researchers have the opportunity to develop their teaching skills and participate in the supervision of students. The amount of teaching included in the contract is about 5% and the form and content negotiable.
Research-related information: coordinator at fcai.fi
Application process: Akseli Kohtamaki (firstname.lastname at aalto.fi)
ABOUT THE HOST INSTITUTIONS
Aalto University and the University of Helsinki form a globally top-ranked fundamental research cluster in AI with both universities being ranked e.g. in the top-20 in 2019 THE impact ranking. Moreover, VTT brings to FCAI its strong track record and networks for application of AI technologies to industrial and societal problems. Together we have a long tradition and track record of decades of pioneering machine learning research, with no counterparts in the Nordic countries.
Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to high-quality research with significant impact on the international scientific community, industry and business, as well as the society at large. Aalto is an international community: more than 30% of our academic personnel are non-Finns. Aalto University has six schools with nearly 20 000 students; it is in world’s top-10 of young universities (QS Top 50 under 50). For more information, see http://www.aalto.fi/en/.
The University of Helsinki, established in 1640, is one of the world’s leading universities for multidisciplinary research. The University of Helsinki is an international academic community of 40,000 students and staff members. The university lays special emphasis on the quality of education and research, and it is a member of the League of the European Research Universities (LERU). For more information, see https://www.helsinki.fi/en/university.
VTT Technical Research Centre of Finland is a visionary research, development and innovation partner. We drive sustainable growth and tackle the biggest global challenges of our time and turn them into growth opportunities. We go beyond the obvious to help the society and companies to grow through technological innovations. We have over 75 years of experience of top-level research and science-based results. VTT´s turnover and other operating income is 258 M€. VTT is at the sweet spot where innovation and business come together. For more information, seewww.vttresearch.com.
Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality-of-life and was just listed as the happiest country in the world: http://worldhappiness.report/news/finland-again-is-the-happiest-country-in-the-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finlandMehr
|Titel||Postdoctoral and Research Fellow positions in Machine Learning at the Finnish Center for Artificial Intelligence|
|Job location||Lämpömiehenkuja 2, 02150 Espoo|
|Veröffentlicht||April 17, 2019|
|Jobart||Post Doc,   Forscher/in  |
|Fachbereiche||Künstliche Intelligenz,   Datenverarbeitung in den Bereichen Mathematik, Naturwissenschaften, Ingenieurwesen und Medizin,   Informationssysteme (Unternehmensinformatik),   Programmiersprachen,   Wahrscheinlichkeitstheorie,   Computergestütze Mathematik,   Maschinelles Lernen  |