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Position: Postdoc - Stochastic Modelling and Data Analyses of Weather Based Generation
Institution: Technical University of Denmark
Department: Wind Energy
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: Contribute to further development and validation of our models for temporal and spatial variability in wind and solar power. Contribute to further development and validation of our models for uncertainties caused by forecast errors of wind and solar power. Maintain and develop models implemented in C#, Matlab and Python. You will be responsible for writing academic papers to conferences and journals. Contribute to education and training in the area of weather based generation
Requirements: Candidates should have a PhD degree or equivalent in computer science or power systems engineering. Furthermore, we seek a candidate with the following qualifications. Documented in-depth knowledge in statistical modelling including stochastic time series analysis. Documented experience with probabilistic analysis in time domain as well as frequency domain. Proven programming skills in Python, C# and Matlab or similar programming languages
   
Text: Postdoc in Stochastic modelling and data analyses of weather based generation DTU Wind Energy Del til Facebook Del til Twitter Del til LinkedIn Wednesday 06 Mar 19 Apply for this job Apply no later than 31 March 2019 Apply for the job at DTU Wind Energy by completing the following form. Apply online The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a Postdoc in Modelling and analyses of weather based generation for the Integration and Planning Section (INP). You will be part of a highly international team carrying out research in wind power integration and control, where the working language is English. Our research in INP is function oriented in the sense that we direct the research towards issues that are relevant for industrial development and applications, and we work in projects with system integration, control concepts for wind turbines, wind / hybrid power plants, electrical components, grid connection and large-scale wind energy power systems. The research field “modelling and analyses of weather based generation” consists of the following tasks / areas: Stochastic modelling of temporal and spatial variability of weather based wind and solar generation Modelling of uncertainties caused by forecast errors of weather based wind and solar generation Analysis of measured and simulated data Validation of models for variability and uncertainties Responsibilities and tasks The purpose of the position is to strengthen ongoing research in modelling and analyzing of the variability and uncertainty of weather based generation with main focus on wind and solar power. For this postdoc position, you will undertake the following responsibilities and tasks: Contribute to further development and validation of our models for temporal and spatial variability in wind and solar power Contribute to further development and validation of our models for uncertainties caused by forecast errors of wind and solar power Maintain and develop models implemented in C#, Matlab and Python. You will be responsible for writing academic papers to conferences and journals Contribute to education and training in the area of weather based generation You will be part of the team in the section for Integration and Planning (INP) working with weather based generation in power systems. This work is done in close collaboration with the section on resource assessment (RAM) who have background in meteorology. We collaborate with other research groups and end users in public funded projects as well as commissioned research in the area of weather based generation. Initially, you will mainly work in the Danish R&D project OffshoreWake, where we will include large-scale wake effects between offshore wind farms in our models for simulation of wind power variability. Collaboration with grid operators and energy systems planners / advisors also plays a strong role for this research area. For instance, we have a long-term collaboration with European grid operators in ENTSO-E delivering data for wind and solar power used by ENTSO-E for planning of the development of the European transmission grid. Qualifications Candidates should have a PhD degree or equivalent in computer science or power systems engineering. Furthermore, we seek a candidate with the following qualifications: Documented in-depth knowledge in statistical modelling including stochastic time series analysis Documented experience with probabilistic analysis in time domain as well as frequency domain Proven programming skills in Python, C# and Matlab or similar programming languages The following qualifications are not mandatory but will be an advantage: Understanding of power systems Understanding of wind and solar power Knowledge of JavaScript, SQL databases and/or HTML We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment 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 initial contract is for 2 years with possibility for 1 year extension. The daily workplace is DTU Risø Campus, Roskilde, Denmark You can read more about career paths at DTU here . Further information Further information may be obtained from Head of Section Jens Carsten Hansen, 45 4677 5074 or Professor Poul Sørensen, posq@dtu.dk or Postdoc Matti Koivisto, mkoi@dtu.dk , 45 9351 1762. You can read more about the Department at https://www.vindenergi.dtu.dk/english . Application procedure Please submit your online application no later than 31 March 2019 (local time) . To apply, please open the link "Apply online", fill out the online application form. The following must be attached in English : Application (cover letter) CV Diploma (MSc/PhD) List of publications Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. DTU Wind Energy is one of the world’s largest centres of wind energy research and knowledge, with a staff of approximately 250 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind Energy has approximately 50 PhD students. The department’s cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions and organizations, as well as wind industry. Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake DTU is a technical university providing internationally leading research, education, innovation and scientific advice . Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.
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