Postdoc in Signal Processing and Machine Learning (readvertisement)
At the Technical Faculty of IT and Design, Department of Architecture, Design
and Media Technology, a position as Postdoc in Signal Processing and Machine
Learning is open for appointment from April 1st, 2022, or soon hereafter and
for a period of 1 year with possibility for extension for another year. The
Department of Architecture, Design, and Media Technology has as its goal the
development of an innovative cluster of engineering-based environments for
education and research which integrate creativity, engineering and technology
within the disciplines of architecture, urban design, industrial design,
digital design and interactive media. The department is a leading research and
educational environment in Denmark that addresses the challenge of the
interplay between creativity and technology, and develops new areas in
research and education directed towards the end-user.
An open position as Postdoctoral Researcher for one year with the possibility
for extension for another year is available with the research group Audio
Analysis Lab. The postdoc will work on the research project Edge AI for High
Stability-Robustness of Power Electronics in Modern Power Systems which is an
interdisciplinary project funded by the Villum Foundation's Synergy programme,
where he/she will work on machine learning and signal processing for power
electronics in a joint collaboration between leading experts at Department of
Architecture, Design & Media Technology and Department of Energy Technology at
About the project: Renewable energy resources are increasingly integrated into
power systems through power electronic converters, whose control dynamics are
critical to the stability and security of the energy supply. The state-of-the-
art control systems of power converters are designed based on the
deterministic models of power systems, considering a given range of operating
conditions. This approach has been effective for the past decades, yet tends
to be more vulnerable and sensitive to the fast-evolving power systems. This
challenge is mainly brought by the rapid deployment of renewable energy
resources, which have radically changed the operation and control paradigm of
power systems. Electricity disruptions caused by the instability of power
converters used in wind turbines have been increasingly reported. In 2019, an
offshore wind farm owned by Ørsted was disconnected from the power grid in the
UK due to the instability of wind turbine converters, which caused the power
cut for over 1 million people, and Ørsted was charged with £4.5 million for
this disruption. To tackle this security challenge of power supply, a cross-
disciplinary effort of experts from power engineering, signal processing and
machine learning will be dedicated to this project. The overall goal is to
exploit modern methods in data sciences to redefine the control architecture
for hardening power converters with high stability-robustness in modern power
systems. Artificial Intelligence (AI) at the edge, i.e., deep learning
algorithms that can be applied in the microcontroller, will be developed for
power converters. The expected outcomes will be groundbreaking in power
engineering and make major advances in signal processing and system
The successful applicant should have a relevant Ph.D. with experience with
signal processing and/or machine learning. Moreover, the successful applicant
should be fluent in English (both oral and written), have strong programming
and math skills, and be familiar with MATLAB or python (or similar tools).
Expertise within electronics is an advantage but is not required.
The Audio Analysis Lab at Aalborg University conducts basic and applied
research in signal processing theory and methods aimed at or involving
analysis of audio signals. The research focuses on problems such as
compression, analysis, classification, separation, and enhancement of audio
signals, as well as localization, identification and tracking using microphone
arrays. The lab and its members are currently funded by grants from the Villum
Foundation, the Danish Council for Strategic Research, the Danish Council for
Independent Research, and Innovations Fund Denmark. The research projects are
carried out in close collaboration with leading industrial partners and
universities around the world.
You may obtain further information from Associate Professor Jesper Rindom
Jensen, phone: +45 9940 7450, email: email@example.com concerning the
Appointment as Postdoc presupposes scientific qualifications at PhD–level or
similar scientific qualifications. The research potential of each applicant
will be emphasized in the overall assessment. Appointment as a Postdoc cannot
exceed a period of four years in total at Aalborg University.
The application must contain the following:
A motivated text wherein the reasons for applying, qualifications in
relation to the position, and intentions and visions for the position are
A current curriculum vitae.
Copies of relevant diplomas (Master of Science and PhD). On request you
could be asked for an official English translation.
Scientific qualifications. A complete list of publications must be
attached with an indication of the works the applicant wishes to be
considered. You may attach up to 5 publications.
Dissemination qualifications, including participation on committees or
boards, participation in organisations and the like.
Additional qualifications in relation to the position.
The applications are only to be submitted online by using the "Apply online"
Shortlisting will be applied. After the review of any objections regarding the
assessment committee, the head of department, with assistance from the chair
of the assessment committee, selects the candidates to be assessed. All
applicants will be informed as to whether they will advance to assessment or
AAU wishes to reflect the diversity of society and welcomes applications from
all qualified candidates regardless of personal background or belief.
For further information concerning the application procedure please contact
Gritt Højer Larsen by mail firstname.lastname@example.org or phone (+45) 9940 3892.
Information regarding guidelines, ministerial circular in force and procedures
can be seen here
Employment is in accordance with the Ministerial Order on the Appointment of
Academic Staff at Universities (the Appointment Order) and the Ministry of
Finance's current Job Structure for Academic Staff at Universities. Employment
and salary are in accordance with the collective agreement for state-employed
Sun Feb 13 00:00:00 CET 2022