The Section for Image Analysis andComputer Graphics at DTU Compute, invites applications for an appointment aspostdoc in Image Analysis for Autonomous Systems and Quality Inspection. Theposition is for three years and aimed computer vision for autonomous systemsand quality inspection of manufactured objects and part of collaborativeresearch projects. One project within vision based naval navigation and theother project aimed at quality inspection systems for wind turbine blade. Theposition is available from 1 February 2019 or according to mutual agreement.
Our department, DTU Compute, is aninternationally unique academic environment spanning the science disciplines mathematics,statistics and computer science with an engineering focus. Based on this, wecover informatics and communication technologies (ICT) in their broadest sense,and we play a major role in addressing the societal challenges of the digitalsociety where ICT is a part of every industry, service, and humanendeavour.
DTU Compute strives to achieve researchexcellence in its basic science disciplines, to achieve technologicalleadership in research and innovation, and to address societal challenges incollaboration with partners at DTU and other academic institutions, nationallyand internationally, and, equally important, with industry and organizations.We communicate and collaborate with leading centres and strategic partners toincrease participation in major consortia.
DTU Compute plays a central role in education at alllevels of the engineering programmes at DTU – both in terms of our scientificdisciplines and our didactic innovation.
This postdoc position is aimed at carryingout research in computer vision methodology applied to autonomous systems andfor inspection in manufacturing. This includes:
- Methods for object detection and classification.Methods for 3D surface scanning and analysis ofderived data.Design of camera-based inspection systems and relatedanalysis methods.Development of machine learning based computer visionsystems including methods for generating artificial data for training suchmodels.
The position is part of ongoing researchprojects for autonomous naval navigation and wind turbine blade inspection.
The postdoc will have the responsibilityof delivering research results and methodologies according to the plans andmilestones set in the projects that this position is part of. It is thereforeexpected, that the candidate will take a lead in planning his/her work in closecollaboration with other project partners.
Computer vision in natural lightingconditions and harsh environments, which is the conditions at wind turbinesites and for naval navigation, is highly challenging. Obtaining reliableinformation about defects or foreign objects requires advanced inferencemethods. New developments in machine learning based computer vision have showngood results, and it is expected that the research should take an offset indeep learning for computer vision. Therefore, emphasis will be put on:
- experience with image analysis and computer vision,experience with deep learning or other machinelearning methods for image analysis,and experience with practical acquisition and (realtime) analysis of image data.
The project will to some extent alsoinvolve practical imaging setups for data acquisition, either in the lab or ina natural environment. So, experience with practical computer vision and dataacquisition will also be beneficial.
Furthermore, it will to some extent bepossible to engage in:
- Supervision of students and BSc and MSc level.Engage in limited teaching activities such as singlelectures in courses or PhD-summer schools.
If you are eager to explore thepossibilities of developing computer vision methods that solves challengingreal-world problems in multidisciplinary projects, you should apply for thispostdoc position.
In the Image Analysis and ComputerGraphics Section there is a close collaboration between researchers, which willalso include this postdoc position. Furthermore, there are project partners atDTU Electro, DTU Wind, and other DTU departments as well as external industrialpartners that will be part of the collaboration. To get the most out ofthe position, it is important that these collaborators are utilized such thatmethods, data and results are shared and published with these partners.
Candidates should have a PhD degree or equivalent.
DTU is a leading technical university globally recognized for theexcellence of its research, education, innovation and scientific advice. Weoffer a rewarding and challenging job in an international environment. Westrive for academic excellence in an environment characterized by collegialrespect and academic freedom tempered by responsibility.
Salary and termsof employment
The appointment will be based on the collective agreement with theDanish Confederation of Professional Associations. The allowance will be agreedupon with the relevant union. The period of employment is three years.
You can read more about careerpaths at DTU here.
Further information may be obtained from Head of Section, Professor AndersBjorholm Dahl, tel.: +45 4525 3907.
You can read more about DTU Compute at www.compute.dtu.dk.
Please submit your onlineapplication no later than 23 January 2019(local time). Toapply, please open the link “Apply online”, fill out the onlineapplication form. The following must be attached in English:
- Application (cover letter)CVDiploma (MSc/PhD)List of publications
Applications and enclosuresreceived after the deadline will not be considered.
All interested candidatesirrespective of age, gender, disability, race, religion or ethnicbackground are encouraged to apply.
DTU Compute conductsresearch and education in the fields of mathematics and computer science. Theconsistently expanding mass of information and the increasingly complex use ofadvanced technology in society demand development of advanced computer basedmathematical models and calculations. The unique competences of the departmentare in demand in IT innovation and production.
DTU is atechnical university providing internationally leading research, education,innovation and scientificadvice. Our staff of6,000 advance science and technology to create innovative solutions that meetthe demands of society, and our 11,200 students are being educated to addressthe technological challenges of the future. DTU is an independent academicuniversity collaborating globally with business, industry, government andpublic agencies.
Deadline: 23 January 2019
Unit: DTU Compute
Read the job description and apply online
Post expires on Wednesday January 23rd, 2019