PhD Position Digital Twins for Energy Valleys

Updated: 4 months ago
Deadline: 31 Jan 2024

6 Jan 2024
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Technology
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

31 Jan 2024 - 22:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Delft University of Technology is hiring a doctoral candidate on the subject of "digital twins for energy valleys". In order to reduce the carbon footprint of our society, the energy systems must develop on the local scale. To enable local energy systems we need digital twins that can support operational decision making by the local community (energy valley) stakeholders. The role of this PhD is to establish the digital twin blueprint for energy valleys and implement it in a real-world setting in the Netherlands. The main scientific challenge lies in modelling the system with various stakeholders (companies, governments, citizens) imperfect and partialized information.

This positions is a part of the REFORMERS Horizon EU project. The PhD will collaborate with partners from across EU and the Netherlands. The PhD will be required to occasionally travel to the real-world energy valley, a city within the Netherlands, and to the consortium project meetings across EU. Additionally, the PhD will contribute and lead several deliverables in this EU project.

In a nutshell, your work will be to develop the blueprint architecture of the digital twin for energy valleys. This includes ontologies, APIs and open source software stack to standardize the digital twin for this application. Starting with already existing open source solutions is desirable. The PhD will also be in charge of validating and testing the developed solution. The PhD will also develop several needed algorithms for proper functioning of the digital twin, including scenario evaluation, automated model creation, model adaptation, etc.

We are looking for a candidate with strong computer science background and system thinking. The knowledge and experience in the energy field is highly desirable. The affinity with modeling and modeling formalisms (such as optimization modeling, simulation modeling, agent-based modeling) is desirable.

We are looking for candidates who can start as soon as possible, although there is some flexibility in the starting date for the suitable candidate.


Requirements
Specific Requirements

Essentials:

  • An MSc degree in a field with a strong emphasis on computer science, modelling and algorithms. Relevant mathematical frameworks include simulation modelling, optimization theory, co-simulation, multi-scale modelling, complex system theory, control theory, operations research.
  • Knowledge of the energy field is desirable.
  • Affinity with programming.
  • Good analytical and problem solving skills.
  • Excellent writing skills.
  • Excellent English skills. The minimum requirement of a TOEFL score of 100 IELTS of 7.0 per sub-skill (writing, reading, listening, speaking) applies to all candidates wanting to pursue a PhD at TU Delft.

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 Graduate Schools Admission Requirements .


Additional Information
Benefits

Doctoral 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 Coming to Delft Service . 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 Dual Career Programme for partners and they organise events to expand your (social) network.


Selection process

Are you interested in this vacancy? Please apply before January 31, 2024 via the application button and upload:

  • a cover letter that details your motivation and fit to the job requirements,
  • your CV with a list of (academic and/or industry) references that we can contact,
  • a list of grades of your qualifying degrees (BSc, MSc),
  • if available, the thesis or another sample of your technical writing. Incomplete applications will not be considered.

The deadline for applications is January 31st at 23:59 CET. After the initial screening, the shortlisted candidates will receive the invitation for interview in February. The knowledge security screening may be performed.

  • 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 comments

For more information about this vacancy, please contact Milos Cvetkovic, e-mail: [email protected]

For questions regarding the recruitment process please contact Brenda Reyes, e-mail: [email protected]


Website for additional job details

https://www.academictransfer.com/336389/

Work Location(s)
Number of offers available
1
Company/Institute
Delft University of Technology
Country
Netherlands
City
Delft
Postal Code
2628 CD
Street
Mekelweg 2
Geofield


Where to apply
Website

https://www.academictransfer.com/en/336389/phd-position-digital-twins-for-energ…

Contact
City

Delft
Website

http://www.tudelft.nl/
Street

Mekelweg 2
Postal Code

2628 CD

STATUS: EXPIRED

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