PhD Position in Causal Inference for Adaptive Optimal Control
The Data Science and Statistics Group, Department of Mathematics and Computer
Science (IMADA) at the University of Southern Denmark invites applications
for a paid PhD research fellowship position within the field of probabilistic
machine learning to be filled earliest by 1 April 2022 for a period of three
years. Application deadline: 15 February 2022.
The research project aims to develop causal inference methods that enhance the
adaptiveness of optimal control problems to major environmental changes. The
project will seek for solid learning-theoretic and algorithmic contributions
to fundamental machine learning research that have implications across
multiple applications of optimal control. Hence, deep theoretical
investigation will be a major component of the project. The project is funded
by a prestigious domestic grant.
IMADA has the unique feature of bringing mathematicians and computer
scientists together within a single department to foster theoretically well-
backed high-quality data science research. IMADA is home to many ongoing
externally funded research projects, as well as to a rich curriculum of data
science courses. Data Science and Statistics Group is a synergy platform for
the data science experts in IMADA.
We are seeking candidates with a strong desire to make significant
contributions to science, specific interest in basic machine learning
research, and an outstanding theoretical background in machine learning,
causal inference, and reinforcement learning demonstrated by excellent course
grades and optionally by scientific publications at major international peer-
reviewed venues of core machine learning basic research. Strong scientific
programming skills demonstrated by contributions to public code repositories
or released source code from the candidate's own publications is a big plus.
We also expect from the candidates excellent spoken and written communication
skills in English. The successful candidate will develop a PhD thesis by
taking part in basic research projects and fulfil teaching assistantship
Candidates are expected to have a Master's degree in Computer Science,
Mathematics, Statistics, or Theoretical Physics or related areas at the time
of the commencement of employment. Candidates are also expected to demonstrate
that they have passed at least two Master level courses that cover advanced
machine learning topics with a grade that corresponds to top 10% success
within the native grade scale.
Place of work:
The Department of Mathematics and Computer Science is located at the main
campus of the University of Southern Denmark, Odense, Denmark.
The University of Southern Denmark was founded in 1966 and now has more than
27,000 students, almost 20% of whom are from abroad. It has more than 3,800
employees, and 115 different study programmes in the fields of the humanities,
social sciences, natural sciences, health sciences, and engineering. Its main
campus is located in Odense, the third largest city in Denmark.
Odense provides family-friendly living conditions with the perfect combination
of a historic city centre with an urban feel and yet a close proximity to
beaches and recreational areas. Its location on the beautiful island of Funen
is ideal with easy access by train or highway to the bigger cities of Aarhus
and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark's famous
fairytale author, the city is home to a vibrant and creative population that
hosts numerous festivals and markets throughout the year.
For further questions about the position please contact Associate Professor
Melih Kandemir on email@example.com.
Application, salary etc.
Appointment as a PhD Research Fellow is for three years. Employment stops
automatically at the end of the period. The holder of the scholarship is not
allowed to have other paid employment during the three-year period.
The successful applicant will be employed in accordance with the agreement on
salaried PhD scholars between the Ministry of Finance and AC (the Danish
Confederation of Professional Associations). Please check links for more
information on salary and taxation.
The successful candidate will be enrolled at this university in accordance
with faculty regulations and the Danish Ministerial Order on the PhD Programme
at the Universities (PhD order).
The University wishes our staff to reflect the diversity of society and thus
welcomes applications from all qualified candidates regardless of personal
Application must be made in the form of a Declaration of Interest including
• A research proposal/description of your approach to the above project (max
one page excluding references)
• A letter stating your specific interest, motivation and qualifications for
the project in question (max. two pages) (please attach this under box
• Detailed CV, including personal contact information
• Copies of diplomas, Bachelor as well as Master's degree, including
transcript of notes/grades
• At least two signed reference letters. Should your referees wish to send
their letters directly to us, please have them use e-mail: firstname.lastname@example.org
mentioning your name and the title of the position in the subject line. And
please note that these also need to reach us before deadline.
Shortlisting may be used in the assessment process.
Further information about the PhD-study can be found at the homepage of the
Applications must be submitted electronically using the link "Apply online".
Attached files must be in Adobe PDF or Word format. Each box can only contain
a single file of max. 10 Mb. We strongly recommend that you read How to apply
before you apply.
Incomplete applications and applications received after the deadline will
neither be considered nor evaluated. This also applies to reference letters.
Further information for international applicants about entering and working in