READVERTISEMENT: Post doc position in algorithms and/or theoretical aspects of machine learning at Computer Science, Aarhus University

A post doc position in algorithms and/or theoretical aspects of machine learning is

available. The post doc is under the supervision of Professor Kasper Green Larsen, Aarhus

University, Denmark. The focus of the research project may be on

topics such as dimensionality reduction, sketching, and/or learning

theoretic questions, depending on the candidate's background.

The candidate is expected to work on theoretical research questions within the
above focus areas. The research is carried out in collaboration with
Kasper as well as Ph.D. students and post docs in the group. The
candidate is expected to have a strong theoretical background
to carry out proofs independently or with minor guidance. It is not
expected that the candidate will do implementations, however, if the
candidate wishes to do so, and it is natural in the project, then
implementation work is most welcome. In addition to research, there
may be minor teaching activities, such as presenting at seminars in
the research group or guiding Ph.D. students in joint projects.

Candidates must have expertise in theoretical computer science
and/or machine learning. Publications at top venues in
TCS, such as STOC, FOCS, SODA, ICALP or top ML venues such as ICML and
NeurIPS are appreciated.

The daily work will be carried out in the Algorithms, Data Structures
and Foundations of Machine Learning group at Aarhus
University, Denmark. The group is headed by Kasper Green Larsen and
also includes faculty members Professor Gerth S. Brodal, Associate
Professor Peyman Afshani and Assistant Professor Chris
Schwiegelshohn as well as Ph.D. students and post docs. The group also
closely collaborates with the Game Theory and Complexity group
consisting of faculty members Prof. Iannis Caragiannis,
Assoc. Prof. Srikanth Srinivasan and Assoc. Prof. Kristoffer Arnsfelt
Hansen.The project is funded by a Sapere Aude grant from
the Independent Research Fund Denmark.

The position is available from June 1st, 2023 or a later
start date may be negotiated. The position is for 2 years.

The application deadline for the position is April 1st,
2023. Applicants should apply online via our recruitment system by
sending a letter of interest and a CV, as well as indicate at least
two names of references for recommendations.

Questions regarding the position should be directed to
Professor Kasper Green Larsen ([email protected] )

The place of work will be Dept. of Computer Science, Aarhus
University, Aabogade 34, DK8200 Aarhus, Denmark.

Previously submitted applications will be taken into consideration unless they are withdrawn.

Application procedure

Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.

Letter of reference

If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline. Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.

Formalities and salary range

Natural Sciences refers to the

Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation

.

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities .

Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here . Please find more information about entering and working in Denmark here .

Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here .

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.