Your work will mainly be focused within systems engineering and optimization activities in research and commercial projects in Loads and Control Section at DTU Wind Energy. Specific tasks will include: Development and adaptation of models for wind turbine and farm physics and costs for the TOPFARM wind farm optimization framework; Executing wind farm optimization studies in a range of applications including but not limited to: wind farm layout optimization, design of wind farm collection systems, hybrid plant sizing and physical design, etc; Writing papers for conferences and journal publications, supporting development of research proposals, and participation on commercial projects for improving wind farm optimization practice by industry
The section for Loads and Control at DTU Wind Energy is looking for a software development engineer with a backround in optimization and applied mathematics and its application in wind energy. The candidate must hold a degree in relevant engineering and/or computer science disciplines. Key skills of interest include: Experience with Python/Julia programming languages and scientific libraries; Experience with OpenMDAO; Experience with High Performance Computing including OpenMP/MPI libraries
Development Engineer for Wind Farm Optimization DTU Wind Energy Share on Facebook Share on Twitter Share on Linkedin Thursday 19 Mar 20 Apply for this job Apply no later than 15 April 2020 Apply for the job at DTU Wind Energy by completing the following form. Apply online The Department of Wind Energy has a vacancy for a Software Development Engineering position in the Loads and Control Section (LAC) at DTU Risø Campus. DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy. DTU Wind Energy develops state-of-the-art design methods to ensure the best performance, lowest cost and overall structural integrity of wind turbines as well as advance the design, operation and control of entire wind power plants for the future needs of the evolving energy system. This is a highly multi-disciplinary issue involving modeling of wind flow, aerodynamics, structures, controls, and more at varying levels of fidelity. LAC focuses on engineering models for loads and dynamics, aeroelastic stability, wind turbine and farm control, and wind farm design optimization, and implements its research in software tools and in courses to the benefit of the wind energy community in general. The position as a software development engineer is being posted in parallel with a researcher position with a similar focus on wind farm optimization. See the post here Responsibilities and tasks Your work will mainly be focused within systems engineering and optimization activities in research and commercial projects in Loads and Control Section at DTU Wind Energy. Specific tasks will include: Development and adaptation of models for wind turbine and farm physics and costs for the TOPFARM wind farm optimization framework Executing wind farm optimization studies in a range of applications including but not limited to: wind farm layout optimization, design of wind farm collection systems, hybrid plant sizing and physical design, etc. Writing papers for conferences and journal publications, supporting development of research proposals, and participation on commercial projects for improving wind farm optimization practice by industry In addition, you are also expected to support the activities on the overall maintenance, documentation, training and support of the TOPFARM wind farm optimization farmeork and model suite. The research aims at creating new valuable knowledge within the wind farm systems engineering and optimization area and implementation of this in department activities as well as in the industry in both the short and long term. Much of our activities are performed in collaboration with the industry, as well as other Danish and foreign research institutions. In addition, the researcher is also expected to contribute to the following tasks: Contribute to the ongoing projects in LAC with reporting and administration Offer support and assistance in teaching the wind energy courses relating to systems engineering and optimization and developing course materials if required Supervise our wind energy master students relating to wind farm systems engineering and optimization and define the potential projects for the master students Qualifications The section for Loads and Control at DTU Wind Energy is looking for a software development engineer with a backround in optimization and applied mathematics and its application in wind energy. The candidate must hold a degree in relevant engineering and/or computer science disciplines. Key skills of interest include: Experience with Python / Julia programming languages and scientific libraries Experience with OpenMDAO Experience with High Performance Computing including OpenMP/MPI libraries Experience with advanced multi-disciplinary analysis and optimization (MDAO) methods using both gradient, heuristic, meta-heuristic and mixed methods is preferable. Experience with uncertainty quantification and data-science techniques is also preferable. It is important that you are open-minded, responsible, ready to engage in a team and have good communication skills. What we offer in return We offer an interesting and challenging job in an international atmosphere with the focus on research, teaching, innovation and scientific advice for the benefit of the surrounding community. We place emphasis on a high level of professionalism among our staff, so skills development is an integral part of our organization. We offer a great flexibility in the position. In the area of technical and natural sciences, DTU is one of the leading research and education institutions in Europe. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The workplace is DTU Risø Campus, Roskilde, Denmark. Application and contact Please submit your online application no later than 15 April 2020. Open the “Apply online” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, you are welcome to contact Head of Section Katherine Dykes, phone 45 2179 9259 or e-mail: firstname.lastname@example.org . You can read more about DTU Wind Energy our homepage: www.vindenergi.dtu.dk/english . All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Wind Energy has more than 240 staff members, including 150 academic staff members and approximately 50 PhD students. DTU Wind Energy has a considerable degree of innovation and cooperation with companies and sector associations within the wind industry in Denmark and abroad. The research is conducted within the three main topics wind energy systems, wind turbine technology, and basics for wind energy. DTU Wind Energy is one of the largest and most prominent research institutions within wind energy. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.