Job title:
PhD Position Data-Driven Assessment and Enhancement of Stability of Integrated Offshore-Onshore Electrical Power Systems
Company:
Job description
Offer DescriptionHybridLabs is an academic-industrial consortium of 37 partners that will accelerate innovations in offshore renewable energy through data-driven hybrid labs. The scale of infrastructure and innovations in HybridLabs is unique. The collaborative research tasks involve the connection of hybrid experimental facilities, including advanced simulators and offshore demonstration sites, which learn from each other using new data- and physics-driven approaches. This Dutch nationwide infrastructure will be used to test innovations, such as new monitoring techniques, nature-strengthening offshore renewables, and new control and design strategies for floating installation techniques.The PhD position focuses on robust adaptive equivalent models of offshore networks for dynamic stability studies. It also concerns with the development of algorithms to enable self-calibrated and unsupervised model updates and improvements. The deployment of data and adaptive models for the enhancement of functionalities for situational awareness and robust control design in integrated offshore-onshore systems falls also within the research scope. The PhD research activities will be based on offline steady-state and dynamic simulations, and real-time digital simulation for laboratory scale experiments, data analytics, multi-variable non-linear control, and advanced optimization methods.This PhD position, starting from October 2024, offers a great opportunity to work in a multidisciplinary team and with industrial partners. In addition, you will be organising cocreation workshops and meetings and will report your progress and findings to the stakeholders. You will, of course, publish papers and disseminate your findings and knowledge in relevant communities.Your research is part of a multi-disciplinary drive towards stable, reliable sustainable energy systems. Which is why you’ll work closely with your colleagues in the Dynamic Stability of Sustainable Electrical Power Systems research group. The group belongs to the Intelligent Electrical Power Grids (IEPG) Section of the Electrical Sustainable Energy (ESE) Department, which is part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc researchers with different cultural backgrounds. You will be coaching and mentoring master students. Fostering a synergetic, open-minded, and win-together culture, we regularly interact and share views, unlocking opportunities, forms of incubation, and deployment of knowledge and ground-breaking developments. We also stimulate a healthy and inclusive work environment in which you can bring out the best in yourself. And we value autonomy, professionalism, and a balanced work-life approach.Where to apply WebsiteRequirementsSpecific RequirementsYou thrive on conducting independent research, while being part of a team working together on stable energy systems meeting the demands of an accelerated energy transition. To help achieve our goals, you have the flexibility to align your research and are able to collaborate to work towards solutions. You harness your communication and organisation skills, convincing and motivating your partners and your team to achieve tangible results. You also enjoy interacting with and coaching master students.You also have::
- MSc degree in Electrical Power Systems or Power Electronics.
- Background in power system stability and control.
- Background in modelling and control of power electronic interfaced devices.
- Advanced user skills in modelling and simulation for stability study of power electronic dominated systems (e.g. by using examples tools like Digsilent Power Factory, RTDS). Besides, skills in advanced scripting (e.g. by using Python) for automated parametrization of models and simulations, as well as for performing optimization, data analytics, and experimental validaton.
- An affinity with teaching and guiding students.
- Ability to work in a team, take initiative, good time management, open to feedback and eager to continously improve, be results oriented and systematic.
- A good command of English, because you will be working in an international environment. A command of Dutch would help you communicate with industrial partners and students.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the .Additional InformationBenefitsDoctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.For international applicants, TU Delft has the . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a for partners and they organise events to expand your (social) network.Selection processTo apply, please complete the application form and add the following documents to your application: * Research statement in maximum one (A4 format) page. Please explain clearly:
- Your key skills which will help you successfully generate and steer high-quality scientific research within the scope of this PhD
- The top-two of your latest innovative solutions and their deployment and impact.
- The top-two of your latest published works in highly ranked scientific journals.
- Detailed CV.
- Copy of your MSc degree and transcript.
- Names and contact information of at least three relevant references, one or two of whom were not involved in your MSc research. We will not contact references without your consent
- A pre-employment screening can be part of the selection procedure.
- You can apply online. We will not process applications sent by email and/or post.
- Please do not contact us for unsolicited services.
Additional commentsYou will benefit from extensive training in technical and transferrable skills. You will be expected to assist in teaching activities (student supervision, labs) related to your subject area.For more information about this vacancy, please contact Dr. Jose Rueda Torres, email: , tel: +31(0)15-27 86239.For information about the selection procedure, please contact Brenda Reyes, Secretary, email: Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Delft University of Technology Country Netherlands City Delft Postal Code 2628 CD Street Mekelweg 2 GeofieldContact CityDelft WebsiteStreetMekelweg 2 Postal Code2628 CDSTATUS: EXPIREDShare this page
Expected salary
€2770 per month
Location
Delft, Zuid-Holland
Job date
Sat, 15 Jun 2024 04:04:12 GMT
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