Postdoc position at the Department of Electrical and Computer Engineering
Digital Twin of Movable Factory
In the last 15 years, the wind turbine has only evolve one way, namely, bigger and bigger. Rotor diameter has grown with approximately 3.8m/year, and as the rotor gets bigger, the rest of the turbine’s components grow similarly. This evolution means that the value chain of wind turbine manufacturing is more frequently challenged by increasing size, weight and complexity. Correspondingly, transport of larger and heavier items is becoming a very big issue. Different places in the world there are restrictions on what times of the day where it is allowed to transport the components, there is restrictions on which roads we must use and what kind of transport, whether it is by truck, train etc. The cost of such transports becomes very expensive, and in a market where price per MW, is decreasing, we get increasingly challenged to find a way to reduce the cost in our value chain. One of the options to cope with these challenges is to move the manufacturing of the modules closer to installation site, and in a controlled environment to assemble such modules locally.
A main characteristic of mobile manufacturing systems is that they are able to be moved geographically to different locations. It has been argued that such a capability is important to cope with global competition, improve manufacturing sustainability, and reduce delivery times for mass customisation production. However, new industrial paradigms such as Industry 4.0 makes little if any notice of mobile manufacturing but instead focus on the digitalisation of fixed location factories.
We are therefore looking for a talented Post-Doctoral Researcher that will work together with our industrial partners into researching and accelerating the adoption of modelling and simulation tools for the support of mobile manufacturing.
Our vision is to develop a digital twin solution that can demonstrate establishing and (re)configuration of a movable factory solution that can be moved around the world so the assembly processes for a specific case study. We aim at demonstrating that the setup costs and manufacturing floor planning can be substantially reduced through the application of digital twin technology.
Collaborating organizations: Vestas, FORCE, Alexandra Institute
Expected start date and duration of employment
This is a 2–year position from 1 august 2022 or as soon possible.
This is a fixed-term position to end on 31 July 2024.
Applicants to the post-doc position must have a relevant PhD degree in Computer Engineering/Science, Industrial Engineering or equivalent. Competence in operations research, model-based machine learning, CAD and relevant topics in digital twins, model based engineering, agent based simulation or deep learning are an advantage. The applicants should be enthusiastic about working in an interdisciplinary academic environment
Place of work and area of employment
Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N, Denmark
You will be a member of the section for software engineering and computing systems but also be connected to the Machine Learning and Computational Intelligence research groups. In recent years, these research groups have seen close cooperation between different research groups around the world.
As a post-doc, you are a valuable part of the researchers at the department. All post-docs get support from experienced advisors outside their own research group. The main purpose of the support group is to give feedback on the PhD work to help you reach your full potential as PhD student, and to ensure that any obstacles that may arise are overcome as smoothly as possible. Another important aspect is socializing with your peers across the department. Social events are continuously organized by the department and student clubs.
Aarhus University was founded in 1928. It has 40,000 students; about 1,800 PhD students – of which one in four has a foreign nationality – and close to 900 postdoctoral scholars together with 11,500 employees. Aarhus University has been establishing itself as a university for cutting-edge research and has been regularly included in the top-100 Universities of the most important university ranking lists.
For further information, please contact: Professor, Peter Gorm Larsen, firstname.lastname@example.org.
Professor Alexandros Iosifidis, email@example.com
Applications must be received no later than 01.06.2022.
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 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.