PostDoc In Social Network Modeling of Clean Energy Acceptance and Support in the Caribbean Population

Introduction

Are you interested in sustainable energy transition and eager to work on academic research with practical implications Do you want to model human interaction behavior and the willingness to adopt innovation Are you eager to work with Social Network Analysis models (statistical and/or agent-based) Do you want to be part of a larger lab of researchers

Job Description

You will be a postdoc within ILUSTRE (Innovation Lab for Utilities on Sustainable Technology and Renewable Energy) within JADS ( with a focus on the population of the Dutch Caribbean islands. The project takes an explicit social science approach and aims to use Machine Learning and Social Network Analysis methodology to 1. analyze the current and developing opinions of new clean energy technology among the Curaçao population and other stakeholders and 2. develop ways to utilize this opinion structure to support and facilitate the energy transition in the Caribbean.

Your work will involve extracting topics (topic modeling within the context of the clean energy transition) opinions and social networks over time from documents (e.g. newspaper articles) using machine learning (ML) methodologies. Then you will use statistical social network models (SNA) to analyze the extracted dynamic social networks and the co-development of the opinions regarding the energy transition and willingness to adopt within the Curaçao society. Ideally this will be followed by the development of agent-based models to study how these networks can be built upon to facilitate energy transition in the Caribbean.

While we are open to other approaches we strongly prefer the use of ML and SNA for this project. The work will be both academically grounded and publishable while also having clear practical implications for the Caribbean islands.

It will be possible to participate in teaching within JADS.

Job Requirements

• Motivated researcher with a PhD in Computational Social Science Sociology Machine Learning or a similar applicable profile. Proven expertise in statistical and/or agent-based network modeling is preferred.
• Ability to conduct high-quality academic research reflected in demonstrable outputs.
• A team player who enjoys working in a dynamic interdisciplinary lab.
• Excellent (written and verbal) proficiency in English good communication skills.

Conditions of Employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Full-time employment for 2 years.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities scale 10 (min. 4241 max. 5538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills didactics and topics related to research and valorization.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• Partially paid parental leave and an allowance for commuting working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network and offers tailored support training and workshops.
• A Staff Immigration Team is available for international candidates as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

About us

Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Information

Do you recognize yourself in this profile and would you like to know more Please contact Dr. Claudia Zucca () or . Roger Leenders ().

Visit our website for more information about the application process or the conditions of employment. You can also contact Ivo Uitdenbogaart HR Advisor .

Are you inspired and would like to know more about working at TU/e Please visit our career page.

Application

We invite you to submit a complete application using the apply-button. 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.
• List of five self-selected best publications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.