The Human Resources Strategy for Researchers

Doctoral Candidate in Probabilistic Machine Learning Accelerators for Energy-Efficient Hardware Implementation of Probabilistic Models

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    Aalto University
    Computer scienceOther
    First Stage Researcher (R1)
    12/10/2020 00:00 - Europe/Brussels
    Finland › Espoo


Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in the Helsinki metropolitan area, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness in the future as well. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

Doctoral Candidate in Machine-Learning Algorithms for Energy-Efficient Hardware Implementation of Probabilistic Networks

“Creating algorithms for structure search, training, and/or inference on new probabilistic machine-learning models, to enable a next generation of smarter and more energy-efficient portable devices”

What you will do
We all witness the rapid developments of connected devices around us, from smartphones to wearables and other wireless sensor networks. This internet-of-things (IoT) intends to make our lives safer, easier or simply more fun. Nevertheless, the next generation of IoT devices will have to embed more intelligence to be really better. This is a massive challenge knowing that these devices do not have large resources available (small batteries, low computing power, etc.). We are looking for a new doctoral student to tackle this challenge.

In this fully funded position, you have an opportunity to be involved in world-class research in hardware accelerators for artificial intelligence (AI) applications. You will contribute to novel algorithm ideas for probabilistic models, in a team at the interface between artificial intelligence algorithms and circuit design. You will work in a multidisciplinary network, to grow, design and promote your ideas, from algorithms to hardware implementation.
What we offer you      
Exciting working topic. You will develop competences at the interface between IC design and AI algorithms. You will apply them in the IoT area, identified as one of the main targets for industry in the near future.

Supportive working environment. We offer you to the possibility to develop novel algorithms applied to self-adaptive and self-learning systems. You will be integrated into an international and supportive research team and have guidance from both algorithm and circuit perspectives. You will be in contact with our vast network of academic and industrial partners.

Competitive salary and contract terms. The starting salary for a doctoral candidate is approximately 2500€/month and salary will increase with responsibilities and performance over time. You are expected to complete doctoral research and studies within four years in the Doctoral Programme in Electrical Engineering of Aalto University. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care services, commuter ticket benefit and versatile exercise services by Unisport. Finland has a comprehensive social security system.

Living environment. The School of Electrical Engineering is located at the Aalto University Otaniemi campus in the Helsinki metropolitan area, Finland. As a living and working environments, Finland consistently ranks high in quality-of-life. For more information about living in Finland please visit our information pages for international staff: https://www.aalto.fi/en/services/why-finland.     

Who you are
•    You have a Master’s degree in Electrical Engineering (with interests in AI algorithms) or Computer Science (with interests in hardware implementation). High average grades as well as excellent grades on programming-related or digital design courses are an asset.
•    You just obtained your diploma, or you already gained some experience in industry.
•    You are passionate about artificial intelligence and/or embedded electronic systems and you are willing to work in a multi-disciplinary field.
•    You are open-minded for new research, eager to learn more and fit to teamwork.

Who we are
Aalto University is a community of bold thinkers where science and art meet technology and business, developing ideas and technologies further into innovations and services. The Electronic Circuit Design (ECD) unit of the Department of Electronics and Nanoengineering at the School of Electrical Engineering has researched RF, analog, and digital integrated circuits already close to thirty years with outstanding outcomes and we have a strong network of collaborators and funding. The ECD unit has three professors (Jussi Ryynänen, Kari Halonen and Martin Andraud), three senior researchers and about 20 doctoral candidates and research assistants.

More information
If you wish to hear more about the position, do not hesitate to contact professor Martin Andraud, martin.andraud(a)aalto.fi.

Ready to apply?
Please submit your application through our recruiting system by using "Apply now!" link below. Please include the following documents in English:
•    Motivation letter with brief description of your research interests and your objective as a PhD student ( around 1-1,5 A4 page)
•    Course transcripts of Master’s studies with grades and Certificate of Master’s degree
•    Curriculum Vitae (including the list of publications if any)
•    Possible References (names of referees or recommendation letters)

The call is open until October 12, 2020, but we will start reviewing and interviewing candidates immediately.

More Information

Web site for additional job details

Required Research Experiences

    Computer science
    1 - 4
Work location(s)
1 position(s) available at
Aalto University
Lämpömiehenkuja 2

EURAXESS offer ID: 553535
Posting organisation offer ID: 147754


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