Postdoctoral Fellow in drone space separation system based on machine learning algorithms
Deadline: 15.01.2021
University of South-Eastern Norway
The University of South-Eastern Norway, USN, is one of Norway’s largest higher education institutions, with around 18,000 students and 1,900 employees across eight different campuses.
We offer studies, research and knowledge dissemination, all targeting various professions and working life and with a high level of quality internationally. Our goal as a University is to create value both for the individual student and for business and commerce, the public sector and society in general. We achieve this by utilising the best tools we have: education and research.
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The students shall benefit from innovative educational methods and challenging studies closely associated with society's requirements and needs. They will learn how to adapt to a society and working life that is constantly changing. The University shall meet major social challenges with knowledge and expertise, helping to promote practical solutions, structural changes and new ways of thinking. USN’s academic activities shall be embodied by a clear dedication to the UN’s sustainable development goals. The University aims to realise this main profile in close cooperation with society and working life.
For more information on USN, please go to www.usn.no
The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as Postdoctoral Fellow in drone space separation system based on machine learning algorithms
About the position
The Faculty of Technology, Natural Sciences, and Maritime Sciences has a vacancy for a position as Postdoctoral Fellow in drone space separation system based on machine learning algorithms from 1 February 2021.
The position is associated with the Department of Science and Industry Systems and reports to the Head of Department. The place of employment is Kongsberg.
About the position
The postdoc Position is associated with an European project, entitled U space Separation in Europe, funded by The EU horizon 2020 under the SESAR Joint Undertaking programme. The goal of the project is to delineate, develop and evaluate a concept of operations and a s set of enabling technologies aimed at insuring the safe separation of drones (from each other’s and from Manned aviation) in the U-space environment with a special focus on densely populated areas. The research goal aims to investigate how machine learning can be used to automate the separation management systems and might improve the Air Traffic Management though prediction of pre-tactical trajectories.
The candidate will adapt simulation environments to the design concepts selected. A core part of the job is to research and develop machine-learning algorithms to improve the separation management, including simulation execution, analysis of simulation results.
The appointment is for a term of two years.
Qualifications
Applicants must have a Norwegian doctorate or equivalent education abroad in computer science, Artificial Intelligence, machine learning, robotics, drones, drones visualisations, or simulations. The applicant must have gained the degree within the application deadline.
Cooperation between staff members is an integrated part of the working atmosphere at the University of South-Eastern Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realize common objectives. Personal suitability for the position will be emphasized.
We offer
A stimulating and growing research environment, with good opportunities to develop your career and your academic skills
Opportunity for physical activities within working hours
Salary
Postdoctoral fellow (postdoktor) (code 1352): NOK 555 800 – 694 400 a year, depending on seniority. In special cases, higher salary may be considered. A statutory contribution will be made from the employee’s salary to the state pension plan.
Other information
The Academic Appointments Board is responsible for appointments to academic positions at University of South-Eastern Norway. An expert assessment of applicants will be carried out. Short-listed candidates will be called in for interviews and must be prepared to present and discuss their projects.
The successful applicant must comply with the laws, regulations and agreements that apply to the position.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
According to the Norwegian Freedom of Information act § 25 2 paragraph, information about the applicant may be included in the public applicant list, even though the applicant has requested non-disclosure. The applicant will be informed if his/her request has been declined.
Contact information
For more information about the position, please contact:
The University of South-Eastern Norway makes use of online application management. Applicants to the post must register their application and CV with enclosures online via the Jobbnorge recruitment portal by clicking on the link on the right-hand side – “Søk stillingen” (Apply for the post).
The following documents shall be attached to the online application:
Certified diplomas and certificates from university college/university
Any scientific publications and a list of these
Three references (contact information)
Please note that all documents must be in a Scandinavian language or in English. Any translations must be certified.
Click here to read more about the recruitment process for scientific posts at the University of South-Eastern Norway.
Each applicant is responsible for ensuring that the required documentation has been uploaded with the application.
The University has been awarded a Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers.
