Current and future autonomous systems, learning systems, robots, and various
other intelligent (AI) systems in areas such as transportation, aviation,
and healthcare require the interaction of machine learning with estimation and
control theory, physics, and distributed computing. The Sensor Informatics and
Medical Technology research group works in this intersection of the
disciplines to produce significant research results both in fundamental and
applied level. The group carries out original high-quality research and
continuously publishes in top journals and conferences of the field. We have
an extensive international collaboration network, which will facilitate the
mobility of our researchers to leading research groups abroad, and vice versa.
Our group is located at the Department of Electrical Engineering and
Automation at Aalto University in Espoo, Finland. We are also affiliated with
the Finnish Center for Artificial Intelligence (FCAI, https: // fcai.fi/).
We are looking for highly motivated candidates who are excited about
distributed estimation and control, physics-driven machine learning or quantum
computing, and who can contribute to developing various kinds of AI-assisted
framework and tools. Potential projects include but are not limited to:
development of fast distributed and parallel computing methods for state
estimation, control, and machine learning. Applications include tracking
systems, model predictive control, and health technology.
physics-driven machine learning which combines physical models (e.g.
differential equations) with neural network and Gaussian process models.
Applications include meteorological forecasting, industrial processes, and
various AI systems.
development of quantum machine learning algorithms (e.g. quantum Gaussian
processes) in collaboration with VTT's quantum computing experts who are
developing quantum computer hardware.
at least PhD or equivalent in mathematics, computer science, control,
physics, electrical engineering, statistics, or related field
knowledge in statistical inference, state estimation, machine learning,
control theory, quantum computing, or physics
proficiency in programming languages used in scientific computing, such
as, Python, Matlab, or Julia
excellent English skills (written and oral)
strong publication record is considered as a plus
As a person, we hope that you are:
an enthusiastic technical writer
comfortable with working in multi-disciplinary and international teams
eager to learn
a team player
The expected starting salary for a postdoctoral researcher is approximately
3700 € per month. In addition to the salary, the contract includes
occupational health benefits, and Finland has a comprehensive social security
system. The position is located at the Aalto University Otaniemi campus which
can be easily reached by public transport.
Ready to apply?
Please submit your application through our recruiting system using the "Apply
now!" link below. Please be prepared to add the following attachments:
motivation letter describing why you want to work with us (e.g. which
publications you liked?)
CV (please highlight any open source, publications, or other projects
that are relevant)
names and contact information (email) of at least two references
list of publications
doctoral degree certificate (if available)
a link to electronic copy of Ph.D. Thesis (if available)
links to electronic copies of 1-2 most relevant publications
Application period closes on June 19, 2022, but we will start reviewing
candidates immediately. Applications will be considered until the
position(s) are filled.
For more information about the position, please contact Prof. Simo Särkkä
(https: // users.aalto.fi/~ssarkka/) email: firstname.lastname@example.org. In
recruitment process related questions, please contact HR Coordinator Camilla
Aalto University is where science and art meet technology and business. We
shape a sustainable future by making research breakthroughs in and across our
disciplines, sparking the game changers of tomorrow and creating novel
solutions to major global challenges. Our community is made up of 12 000
students, 400 professors and close to 4 000 other faculty and staff working on
our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of
who we are, and we actively work to ensure our community's diversity and
inclusiveness. This is why we warmly encourage qualified candidates from all
backgrounds to join our community.
The School of Electrical Engineering promotes high-quality science,
technology and innovations for the benefit of the Finnish society and all of
humankind. In our research environment, the natural sciences, engineering and
information technology intertwine to form smart systems and innovations that
save energy and promote well-being. With our research, we seek to respond to
many challenges posed by sustainable development and the results are applied,
for example, in mobile devices, electrical networks, health care and in
satellites. The school's special strength is linking the research with the
Finnish and international business sector. We have around 2000 students in
total, and around 250 master's and 50 doctoral degrees annually. Our personnel
consists of 700 people with over 70 professors.
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