Businesscoach / Business Developer

Jouw uitdaging

Twente is een regio vol ondernemerschap, innovatie en technologische vernieuwing. Van studenten en onderzoekers tot ervaren mkb’ers en snelgroeiende startups: overal ontstaan nieuwe ideeën en ambities. Als Businesscoach bij Novel-T speel jij een sleutelrol in het begeleiden van deze ondernemers. De nadruk in deze functie ligt op coaching: jij helpt ondernemers hun businesscase te valideren, strategische keuzes te maken en gericht te groeien.

Binnen de accelerator- en ontwikkelprogramma’s van Novel-T coach je ondernemers één-op-één én in groepsverband. Je fungeert als sparringpartner, daagt uit, brengt structuur en helpt ondernemers om hun plannen te vertalen naar concrete stappen richting markt en schaalbare groei. Daarbij maak je actief gebruik van het innovatieve ecosysteem waarin Novel-T een centrale rol vervult en verbind je ondernemers met relevante partners, kennis en financieringsmogelijkheden.

Naast coaching inspireer je deelnemers tijdens trainingen en workshops die je geeft over onderwerpen zoals marktvalidatie, klantontwikkeling, businessmodellen, teamvorming en groei. Je levert bovendien een actieve bijdrage aan de verdere ontwikkeling van programma’s, methodieken en het profiel van Novel-T als toonaangevende organisatie in ondernemerschaps- en innovatiebevordering.

Jouw rol en verantwoordelijkheden

• Begeleiden en coachen van startups, scale-ups en innovatieve mkb’ers binnen de programma’s van Novel-T.
• Fungeren als strategisch sparringpartner voor ondernemers bij validatie- en groeivraagstukken.
• Verzorgen van inspirerende trainingen, workshops en groepssessies.
• Signaleren en ontwikkelen van kansrijke businessconcepten.
• Verbinden van ondernemers met relevante marktpartijen, partners en het innovatie-ecosysteem.
• Signaleren van financieringsbehoeften en – waar nodig – begeleiden richting passende financieringsinstrumenten of investeerders.
• Bijdragen aan de ontwikkeling en doorontwikkeling van programma’s, tools en methodieken.
• Actief bijdragen aan kennisdeling binnen het team en de positionering van Novel-T in de regio en daarbuiten.

Sports Center Service Desk Employee

Wat ga je doen?
Als Servicedeskmedewerker ben jij het eerste aanspreekpunt voor alles wat er gebeurt in en rond het Sportcentrum. Jij zorgt dat bezoekers zich welkom voelen én dat meldingen, vragen en verzoeken op de juiste plek terechtkomen. Een afwisselende job waarin hospitality, overzicht houden en schakelen centraal staan.

Je houdt je o.a. bezig met het:

• Ontvangen en doorverwijzen van bezoekers.
• Aannemen en doorzetten van telefoontjes.
• Registreren en opvolgen van storingen, klachten en meldingen via Planon.
• Afstemmen met collega’s van de Interne Dienst.
• Verwerken van post en goederen.
• Beheer van sleutels, toegangspassen en diverse faciliteiten.
• Openen en sluiten van het gebouw.
• Toezicht houden op veiligheid en naleving van regels.
• Registreren van leveranciers.
• Verkoop van sportabonnementen via het kassasysteem.
• Diverse administratieve werkzaamheden, waaronder het maken van roosters.

Het Sportcentrum is dagelijks geopend en werk je samen met een hecht team van servicedeskcollega’s en werkstudenten volgens een wisselend rooster met dag-, avond- en weekenddiensten.

Je valt zowel hiërarchisch als functioneel onder verantwoordelijkheid van de Facilitair Teamleider

PhD position on model-based wavefront shaping microscopy

With wavefront shaping, you can focus light through non-transparent materials. Since the invention of wavefront shaping at the University of Twente, many applications have arisen, ranging from quantum security to microscopy.

The key challenge of wavefront shaping is to find out exactly how to shape the light to form a focus. Traditionally, this is done through iterative algorithms (‘trial and error’). In this project, we aim to develop a radically different approach where the correct shape is computed using a 3-D model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality.

Your role is to build flexible 3-D ray-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations.

You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy systems and directly test your models in experiments. Your research will help microscope users to see inside their samples without cutting them to pieces and thus have a direct impact on their daily work.

PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’

In high-stakes crises, strategic teams often aim to avoid errors at all costs. Yet this drive for error-free performance at a group level can unintentionally silence early warning signals on a personal level-such as when conflicting information during a bomb-threat response go unchallenged, or when concerns about rising intensive care unit admissions are dismissed. These moments illustrate how hesitation to speak up can undermine adaptation and decision-making when it matters most.

Research shows that effective teams require psychological safety: the opportunity to voice concerns and seek feedback openly (Edmondson & Bransby, 2023). Studies on error management climates demonstrate that treating mistakes as learning opportunities enhances performance (Horvath et al., 2023). However, crisis contexts differ: what counts as a ‘mistake’ is often ambiguous in the moment. Rather than clearly identifiable errors, team members are frequently dealing with potential mistakes or contributions that may be perceived by others as inaccurate or inadequate. Voicing such concerns or alternative interpretations can entail personal and relational risks. Moreover, even perceived or potential errors may carry heavy consequences in crisis contexts, and recent work suggests that an exclusive focus on error management is insufficient. Instead, optimal performance emerges from balancing error management with error prevention (Van der Byl et al., 2023). Emerging theory argues for performance safety-the freedom to speak up combined with awareness of the responsibility errors entail (Taylor et al., 2025).

This reveals a core paradox for strategic crisis team decision making: teams striving to be error-free may unintentionally suppress the cues that help them learn, adapt, and intervene effectively. This tension between preventing errors and learning from them will be centre stage in this PhD project.

The activities include integrating literature on psychological safety, error climates, and crisis decision-making, and developing a conceptual framework for communication errors in strategic crisis teams. The project will collect interview data and analyse crisis scenarios to identify patterns of communication errors and their impacts. It will also test the effects of these errors and their consequences in controlled crisis simulations through field experiments combined with post-experimental interviews. Finally, interventions and training methods aimed at improving communication and reducing errors will be tested in controlled crisis simulations, again using field experiments complemented by post-experimental interviews.

This 4-year full-time PhD, based in the Psychology of Conflict, Risk and Safety section, focuses on strengthening communication, learning, and error response in strategic crisis teams.

EngD Position: LiDAR-Assisted Wind Field Forecasting for Next-Gen Turbines

About the Project

Wind energy is a cornerstone of the global energy transition, but increasing the sustainability of the turbines themselves is critical. The ECOWIND project focuses on an integrated strategy to extend operational lifespans and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector.

Your Role
A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines to react to the wind before it hits the blades.

Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s Frozen Turbulence Hypothesis, to estimate incoming turbulent flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation (LES) results.

Key Responsibilities:

• Develop and refine numerical algorithms for real-time wind field forecasting.
• Validate forecasting models against high-fidelity LES data and field measurements.
• Quantify the impact of predictive adjustments on turbine performance and load reduction.
• Communicate findings through technical reports and presentations to both academic and industrial audiences.