Collaborative Innovation: Partner with TU/e EngD Programmes

Discover how your organisation can accelerate its technology roadmap through a dedicated, full-time Engineering Doctorate (EngD) project. This event brings together industry leaders, public institutions and innovative organisations with top-tier academic expertise and advanced university resources to tackle complex technical and societal challenges.

Event Overview & Purpose

The primary objective of this event is to introduce organisations across all sectors to our Engineering Doctorate (EngD) programmes and to explore opportunities for collaborative Research and Development (R&D) projects.

An EngD project is a one-year, full-time paid assignment in which a highly qualified engineering candidate develops a bespoke solution specifically for your organisation. These projects typically achieve a Technology Readiness Level (TRL) of between TRL 4 and TRL 5, serving as vital enablers for future components of your strategic roadmap.

Common Project Scopes:

  • Designing and validating new system architectures.
  • Integrating emerging technologies into existing operations.
  • Developing and optimising new processes.

Programme

16:00–16:30Welcome and Introduction

A comprehensive overview of the Engineering Doctorate (EngD) programme, including the Company EngD option.

16:30–16:40KIVI Offer

Introduction to KIVI and the (EngD) Community for Development.

16:40–17:00Alumni Showcase

Presentations by selected cum laude graduates representing various EngD programmes, as well as the KIVI Award winner.

17:00–17:15Industry Perspectives ( optional)

Participating companies will outline their fields of expertise and current technical challenges.

17:15–17:30Funding Mechanisms

Our experts will briefly explain the various funding schemes.

17:30–18:00Drinks & Poster SessionFeaturing alumni and research groups, alongside printed posters detailing funding options.

Target audience

Who Should Attend?

We welcome representatives from start-ups, SMEs, large corporations, public authorities and non-profit organisations across a range of sectors—including, but not limited to, high-tech, defence, water governance, education and NGOs.

This event is designed for your organisation if:

  • You have clear R&D or technical needs but lack the internal capacity or full-time equivalent (FTE) staff to carry them out.
  • You require the assistance of academic experts in a specific field to solve complex problems.
  • You wish to make use of university resources, such as state-of-the-art laboratories and extensive scientific literature.

Expectations & Partner Benefits

Participants are encouraged to come prepared with specific engineering, data or operational challenges that require academic or advanced R&D expertise. By partnering with the TU/e EngD programme, your organisation secures a dedicated engineer supported by a comprehensive support ecosystem:

  • Academic Supervision: Ongoing guidance from a university research supervisor who is an expert in the field.
  • Access to Resources: Full access to research facilities, scientific literature and an extensive R&D network.
  • Financial Structure: The base cost for a project is €8,000 per month. Additional costs may apply depending on the scope if specific laboratory equipment or specialised facilities are required. Funding experts will be present at the event to discuss public funding schemes, grants and co-funding opportunities to support these collaborations.

Event Programme & Track Expertise

The event will feature presentations of successfully awarded EngD projects, showcasing real-world applications and tangible outcomes. You will have the opportunity to engage directly with track representatives and experts from:

  • Automotive Systems Design
  • Mechatronics Systems Design
  • Software Technology
  • Data Science
  • Consortium Formation & Public Funding Opportunities

Proven Track Record: Examples of Diverse Applications

  • Successfully tackling money laundering with data science
  • Design of a Scaled Hardware-in-the-Loop Setup for Vehicle Powertrain Simulation, Analysis and Testing
  • Integration and Validation of a Lane-Level Localisation System Using Multi-Sensor Fusion
  • Energy Consumption Prediction for Battery Electric Buses – Design, Implementation and Validation of a Cloud-Based Software
  • Simulation Framework for the Self-Driving Lab for Electro-Chemistry: Minimising Risk in Renewable Energy Research
  • Large Language Model-Based Tool to Support the Test Development Process
  • Automating Clinical Documentation in Cardiology Using Generative AI

Get in touch

If you require any further information before the event, please do not hesitate to contact the organising team. We look forward to exploring how we can support your innovation goals.