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REIMAGINE 

YOUR CAREER 

Exciting tech and engineering campanies in Denmark want you to join them

Postdoc position in Open Deep Learning Toolkit for Robotics (OpenDR)

The Department of Electrical and Computer Engineering, Aarhus University, invites applicants for a 1-year Postdoc or research associate position offering applicants an exciting opportunity to join a new research project on Open Deep Learning Toolkit for Robotics (OpenDR).

We are looking for an enthusiastic researcher (post-doctoral researcher or research associate) who wishes to investigate develop, train, deploy and evaluate lightweight deep learning models that improve the technical capabilities of the core technologies beyond the current state of the art planning and perception methods.

The successful candidate will investigate novel end to end planning methods for aerial-ground robots team collaboration for green transition in agriculture and improve the inference speed of deep learning models for planning and perception.

Expected start date and duration of employment

The position is available from September 1, 2022 or as soon as possible hereafter

Job description

You are expected to contribute to the Artificial Intelligence in Robotics (Air) Group and Machine Learning and Computational Intelligence (MaLeCI) Group, e.g.:

  • Support to develop journal and conference articles
  • Communicate with our academic and industrial partners.
  • Develop and integrate deep learning models for the OpenDR toolkit.
  • Information regarding the OpenDR project can be found here: http://opendr.eu/  
  • The first version of the OpenDR toolkit can be found here: https://github.com/opendr-eu

Your profile

Applicants should hold a MSc or PhD in [automatic control engineering, mechatronics engineering, electrical engineering, computer engineering, mechanical engineering, computer science or other related disciplines. (the degree should have been completed within the last 5 years at most). Candidates, who will complete and defend their MSc or PhD thesis by May 2022, are welcome]:

  • The candidate should have excellent verbal and writing skills in English with very good communication skills,
  • A solid publication track record in peer-reviewed journals and conferences,
  • Concrete knowledge in C/C++  and Python,
  • Background in deep learning methods
  • Background in Motion Planning algorithms (RTTs, A*, ...)
  • Background in simulation environments for robotics (e.g. Gazebo, AirSim, Webots, etc),
  • Experience in aerial robotics is a plus,
  • Experience of Robot Operating System (ROS) is a plus 

Who we are

About the Department of Electrical and Computer Engineering:

Electrical and computer engineering are closely related engineering disciplines that focus on the development of hardware and software for intelligent units and networks. This includes hardware at system and component levels as well as many different types of software for controlling electronic devices and networks.

The research areas within the Electrical and Computer Engineering Department support the development within this area. The outcome greatly influences our daily lives as advanced technologies are incorporated into an increasing number of products, for example in industrial processes, at hospitals and in information infrastructures.

What we offer

The department/centre offers:

  • a well-developed research infrastructure, laboratories and access to shared equipment
  • an exciting interdisciplinary environment with many national, international and industrial collaborators
  • a research climate encouraging lively, open and critical discussion within and across different fields of research
  • a work environment with close working relationships, networking and social activities
  • a workplace characterised by professionalism, equality and a healthy work-life balance.

Place of work and area of employment

The place of work is Skejby Nordlandsvej 301, 8200 Aarhus, Denmark, and the area of employment is Aarhus University with related departments

Place of work and area of employment

The position includes two permanent workplace addresses in  Deep Tech Hub (Skejby Nordlandsvej 301, 8200 Aarhus, Denmark) and  Åbogade 34, building 5341, 117, 8200 Aarhus N, Denmark respectively. The attendance at each workplace address is by agreement with your immediate supervisor. At the time of employment, the distribution between the workplace addresses is expected to be 4 days with place of employment in Deep Tech Hub and 1 day with place of employment in  Åbogade 34, building 5341, 117, 8200 Aarhus N.

Contact information

Further information about the position may be obtained from / For further information please contact: Erdal Kayacan (erdal@ece.au.dk) and Alexandros Iosifidis (ai@ece.au.dk).

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

Technical 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 Finance 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 Finance 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.