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PhD scholarship in Representation Learning
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Tuesday 23 Nov 21
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Apply no later than 1 January 2022
Apply for the job at DTU Compute by completing the following form.
Do you want to advance state of the art in machine learning research by
learning useful and operational representations? Common representation
learning is useful for solving a given task, but in unsupervised learning the
task is less clear and statistical identifiability problems start appearing.
In this project you will advance the capabilities of unsupervised learning
techniques for understanding proteins by building geometric machine learning
Responsibilities and qualifications
Most learned representations are treated as being Euclidean even if it is
trivial to construct counter-examples showing that the Euclidean assumption
lead to arbitrariness. You will join a team of people dedicated to avoiding
this arbitrariness. You will work with nonlinear generative models and use
geometric techniques to develop well-defined operations that can be
meaningfully applied in the representation space of the model. The end-goal is
to both improve the modelling capacity of generative models, but also to
improve their general interpretability.
Depending on interest and qualifications of the applicant, the project can be
either theoretical, applied, or a combination thereof. We generally believe
that theory and applications must go hand in hand to ensure that the theory is
meaningful and beneficial to scientific discovery.
You must have a two-year master's degree (120 ECTS points) or a similar
degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the
candidate will be enrolled in one of the general degree programmes at DTU. For
information about our enrolment requirements and the general planning of the
PhD study programme, please see the DTU PhD Guide.
The assessment of the candidates will be made by Professor Søren Hauberg.
DTU is a leading technical university globally recognized for the excellence
of its research, education, innovation and scientific advice. We offer a
rewarding and challenging job in an international environment. We strive for
academic excellence in an environment characterized by collegial respect and
academic freedom tempered by responsibility.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish
Confederation of Professional Associations. The allowance will be agreed upon
with the relevant union. The period of employment is 3 years. Starting date is
as soon as possible according to mutual agreement.
You can read more about career paths at DTU here .
Further information may be obtained from Søren Hauberg, email@example.com /
You can read more about DTU Compute at compute.dtu.dk/english.
If you are applying from abroad, you may find useful information on working in
Denmark and at DTU at DTU – Moving to Denmark.
Your complete online application must be submitted no later than 1
January 2022 (Danish time). Applications must be submitted as one PDF
file containing all materials to be given consideration. To apply, please
open the link "Apply online", fill out the online application form, and attach
all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see
guidelines and Excel spreadsheet here)
You may apply prior to obtaining your master's degree but cannot begin
before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability,
religion or ethnic background are encouraged to apply.
DTU Compute is a unique and internationally recognized academic department
with 385 employees and 11 research sections spanning the science disciplines
mathematics, statistics, computer science, and engineering. We conduct
research, teaching and innovation of high international standard – producing
new knowledge and technology-based solutions to societal challenges. We have a
long-term involvement in applied and interdisciplinary research, big data and
data science, artificial intelligence (AI), internet of things (IoT),
smart and secure societies, smart manufacturing, and life science. At DTU
Compute we believe in a diverse workplace with a flexible work-life balance.
The Section for Cognitive Systems is an internationally renowned group for
machine learning research. The group aims for the highest quality research.
You're encouraged to collaborate both within the group and with other
international groups. We emphasize a healthy work/life balance based on the
premise that you do the best work when you are happy.
Technology for people
DTU develops technology for people. With our international elite research and
study programmes, we are helping to create a better world and to solve the
global challenges formulated in the UN's 17 Sustainable Development Goals.
Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and
create value using science and engineering to benefit society. That vision
lives on today. DTU has 12,900 students and 6,000 employees. We work in an
international atmosphere and have an inclusive, evolving, and informal working
environment. DTU has campuses in all parts of Denmark and in Greenland, and we
collaborate with the best universities around the world.