---
title: "PhD in AI for power load and renewable energy forecasting in electricity grids"
date: last-modified
editor: visual
---

### Short Description

Are you an enthusiastic and ambitious researcher with a completed master's degree in a field related to machine learning (Computer science, AI, Data Science), or in Electrical Engineering with an affinity for AI and deep learning? Does the idea of working on real-world problem, and working with industry partners excite you? Are you passionate about using deep learning and explainable AI methods for power-load forecasting and achieving promising and renewable-energy forecasting?

We are recruiting a PhD candidate who will develop accurate AI-powered electricity grid forecasting methods and trial them with industrial partners who work in the Dutch Caribbean islands.

![Renewal Energy generation is unpredictable](img/Renewable_Energy_on_the_Grid.webp "Kenueone, CC0, via Wikimedia Commons")

### Job Description

This position is linked to ILUSTRE, a new Innovation Center for Artificial Intelligence (ICAI) to be established in Curaçao. ILUSTRE will be a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advanced solutions in water treatment and wastewater recycling/purification. The innovation lab is one of the new ICAI labs that are part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme. ILUSTRE offers opportunities for PhD candidates who wish to support to the acceleration of the energy transition and who have an affinity with the Dutch Caribbean islands.

### Job Requirements

-   Essential:
    -   A master's degree (or an equivalent university degree) in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a closely related quantitative subject.
    -   A research-oriented attitude.
    -   Ability to work in a team
    -   Interest in collaborating with the industrial partners.
    -   Fluent in spoken and written English (C1 level).
-   Desirable:
    -   Experience of programming to implement machine learning or statistics

### Conditions of Employment

Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.

As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.

To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.

Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).

JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.

All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at [Tilburg University](https://www.tilburguniversity.edu/about/working) and Working at [Eindhoven University of Technology](https://www.tue.nl/en/working-at-tue/) for more information on their respective employment conditions.

### More Information

Do you recognize yourself in this profile and would you like to know more? Please contact [Dr. Dan Stowell](mailto:D.Stowell@tilburguniversity.edu) or [Dr. Çiçek Güven](mailto:C.Güven@tilburguniversity.edu). For information about terms of employment, please contact [Marielle van Gerven, HR Advisor](mailto:m.a.a.v.gerven@jads.nl) or [call](tel:+31402473699)

### Application

We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:

-   Cover letter in which you describe your motivation and qualifications for the position.
-   Curriculum vitae, including a list of your publications and the contact information of three references.
-   Brief description of your MSc thesis.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

<a><button name="button" style = "color: red" onclick="https://lanubia.com">Apply Now</button></a>
