
KIVI EngD Company Meet & Match
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 connects industry leaders, public institutions, and innovative organisations with top-tier academic expertise and advanced university resources to solve complex technical and societal challenges.
Event Overview & Intent
The primary objective of this event is to introduce organisations across all sectors to our Engineering Doctorate (EngD) programmes and explore opportunities for collaborative Research and Development (R&D) projects.
An EngD project is a one-year, full-time paid assignment where a highly qualified engineering candidate develops a tailored solution specifically for your organisation. These projects typically achieve a Technology Readiness Level 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
| 16:00-16:30 | Welcome and Introduction | A comprehensive overview of the Engineering Doctorate (EngD) programme, including the Company EngD modality.
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| 16:30-16:40 | KIVI Offer | Introduction into KIVI and (EngD) Community for development.
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| 16:40-17:00 | Alumni Showcase | Presentations from selected cum laude graduates representing various EngD programmes, as well as the KIVI Award winner.
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| 17:00-17:15 | Industry Perspectives (optional) | Participating companies will introduce their domains and current technical challenges.
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| 17:15-17:30 | Funding Mechanisms | Our experts will briefly explain the different funding schemes.
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| 17:30-18:00 | Drinks & Poster Session | Featuring alumni and research groups, alongside printed posters detailing funding options. |
Target audience
Who Should Attend?
We welcome representatives from startups, SMEs, large corporations, public authorities, and non-profit organisations across diverse 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) personnel to execute them.
- You require the aid of academic experts in a specific domain to solve complex problems.
- You wish to leverage university assets, such as state-of-the-art laboratories and extensive scientific literature.
Expectations & Partner Benefits
Attendees are encouraged to arrive 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 backed by a comprehensive support ecosystem:
- Academic Supervision: Continuous guidance from a university scientific supervisor who is an expert in the field.
- Resource Access: 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 mechanisms, grants, and co-funding possibilities 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
- Consortia Creation & 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 Localization 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: Minimizing Risk for Renewable Energy Research
- Large Language Model Based Tool for Assisting Test Development Process
- Automating Clinical Documentation in Cardiology Using Generative AI
Get in Touch
If you require any further information prior to the event, please do not hesitate to contact the organising team. We look forward to exploring how we can support your innovation goals.
