Postdoc Position on Power Electronics for Long-Duration Energy Storage (SLDbatt Project)

The Faculty of EEMCS and the Power Electronics group at the University of Twente are hiring a postdoctoral researcher to join a multidisciplinary research team working on long-duration energy storage (LDES) for grid support, flexibility & electrification of Dutch industry.

The position is embedded in the context of the RVO project “SLDbatt”, in collaboration with Dutch research organisations and ESS industry partners.

The SLDbatt project aims to develop and deploy battery technologies towards TRL 6-7 enabling LDES for 8+ hours to address energy transition goals and challenges in net congestion. Six pilots will be deployed and validated to demonstrate LDES market potential.

The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different scenarios, providing techno-economic insights to accelerate their deployment in real-life applications. They will join the Center of Expertise (CoE), in charge of providing techno-economic assessments & manufacturability, scalability, & sustainability evaluations, recommendations for future LDES market frameworks, policies, & regulatory needs, and knowledge of best practices for grid- & industrial integration.

Your key responsibilities as Postdoc (include but are not limited to):

• Design, simulate, and experimentally validate converter topologies for hydrogen–iron flow-battery systems.
• Develop control and energy-management algorithms for efficient and reliable long-duration operation.
• Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios.
• Integrate battery–converter interfaces with supervisory controllers and evaluate system efficiency and reliability.
• Collaborate with Elestor and consortium partners to translate lab designs into pilot-scale demonstrators.
• Contribute to scientific publications, project reporting, and dissemination through the UT CoE for LDES.

This position offers a unique opportunity to conduct high-impact applied research at the interface of power electronics, energy systems, and battery management. You will work closely with a second postdoctoral researcher focused on energy-system modelling, ensuring strong collaboration between hardware development and system-level optimization.

Assistant Professor Pervasive Systems/Creative Technology

The ideal candidate should be interested in tackling fundamental research questions in these domains and possess strong teaching abilities, having an intrinsic motivation to communicate science to students. Joining us means becoming part of a unique and supportive partnership between the University of Twente (UT) and Vrije Universiteit Amsterdam (VU). This role offers a chance to broaden your horizons and engage in a network dedicated to training the next generation of broad technical professionals.

Location & Mobility
You will be employed by the University of Twente. This role offers a dynamic work environment:

• Dual Locations: Your teaching activities will connect you with students at both the University of Twente (Enschede) and VU Amsterdam.
• Connection: To facilitate education and collaboration across both campuses, this role involves travelling between the two sites regularly during teaching periods.

Your responsibilities

• Inspiring Education: You will teach within the Creative Technology bachelor's programme. Here, you will help students understand how technology influences humans and design, teaching them to build solutions for a better future.
• Research with Impact: You will resolve fundamental research questions in Internet of Things (IoT), Embedded Computing, Pervasive Computing and/or Artificial Intelligence (AI). You will have the freedom to develop your own research line while connecting with and complementing the themes within the Pervasive Systems group.
• Collaboration: You will work in a multidisciplinary environment where we value efficient interaction and the establishment of new projects together.

Postdoc Position Applied Large Language Models for Advanced Banking Operations

We are looking for a results-oriented postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs). The role focuses on designing, validating, and operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems.

The position potentially targets at one of the following three high-impact research streams:

Quality assurance and confidence scoring for LLM outputs
Generative AI models such as LLMs can produce responses with inconsistent accuracy, creating a growing need for systematic validation and performance assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics to design and test methodologies that quantify confidence levels in LLM responses, supporting transparent and reliable decision-making across the bank.

Domain-specific language models for compliance-driven processes
ING aims to tailor language models to its KYC and mortgage domains, where precise understanding of internal documents, policies, and regulatory frameworks is essential. A key component of this research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization.

Context-engineering automation for agentic AI
As ING scales up its agentic AI capabilities, the manual design of context, i.e., how AI agents collect, structure, and prioritize information, remains a major bottleneck. You will explore methods to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within operational banking environments.

This postdoctoral role offers a unique opportunity to shape the next wave of AI-driven financial technologies in close collaboration with a leading global bank.

The ING Analytics department
This research will be performaned in collaboration with ING Bank. More specifically, with the ING Analytics (INGA) team. This team consists of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore have a strong desire to keep up with and be part of the latest developments in the fields of AI, tooling and statistics. Which they do by working closely together with interns on a variety of topics to solve academic yet practical problems. The INGA team has extensive experience with researchers. You will collaborate with subject matter experts and (senior) data scientists to perform the proposed applied research.

Assistant Professor Financial Engineering

We are looking for excellent enthusiastic scholars to join the High-tech Business and Entrepreneurship (HBE) department at the Faculty of Behavioural, Management and Social Sciences. Specifically, we are looking for a colleague in the field of finance and accounting to join HBE's Financial Engineering and Business Information Systems section.

HBE holds a leading position at the interfaces of business, technology and the social sciences. In our ground-breaking research and novel education programmes, we strive for making an impact in business and healthcare by conducting cross-disciplinary research. We combine various themes such as smart-industry, supply chain management, transportation and logistics management, innovation management, healthcare operations, technology-based entrepreneurship, purchasing and supply management, cyber security, financial engineering, HRM, change management, and leadership.

Are you looking for a forward-thinking team-based environment to expand the borders of your home subject area and develop cross-disciplinary expertise? Join our team to make a significant impact on science and society.

Responsibilities
You contribute to research, teaching, and knowledge valorisation. You will

• Conduct research within the focus areas of accounting & finance, with a genuine interest in operating at the crossroads of different subject areas (especially finance and technology);
• (Co-)teach and coordinate courses in the BSc and MSc programs of (International) Business Administration, particularly (but not exclusively) in accounting, corporate governance, or corporate finance;
• Co-build our research and teaching ecosystem (e.g., by acquiring external research funding);
• Supervise students during their BSc & MSc thesis research;
• Contribute to the supervision of PhD students.

PhD position Social dynamics of energy communities in the Dutch energy transition

Social dynamics shape behaviours that can accelerate or hinder the Dutch energy transition. In this project the focus is on social dynamics within and surrounding energy communities (ECs). This project explores how different types of social dynamics support, interrupt, or derail collective action and collaborative governance of energy communities, adopting a system perspective. While key to the national energy transition energy communities are hindered from scaling due, at least in part, to problematic social and political dynamics that discourage national support and spark local opposition to the renewable energy projects energy communities are involved in. The resulting complex social dynamics like contestation, social resistance and conflict disincentivize ECs as do dynamics at the niche and national levels. Understanding transformative co-evolutionary (social and technical) energy system change necessitates a move beyond mono-disciplinary and interdisciplinary approaches, which cannot fully access the experiences, perceptions and behaviors of energy community members with smart energy technology interventions and related social dynamics. This PhD research project adopts a qualitative exploratory research approach involving longitudinal case studies and participatory action research (PAR) in a set of use cases with energy community projects ranging from smart grid experimentation and energy sharing in rural regions in the Netherlands to developing an energy community in Amsterdam Southeast.

The position is part of the project “Social dYnamics in eNergy systems: Resilience, Governance, and policY“ (SYNERGY) under the NWA (National Science Agenda) call Social Dynamics in the Energy Transition, involving University of Twente, Delft University of Technology, Utrecht University, University of Tilburg, Eindhoven University of Technology, Avans University of Appliances and TNO. SYNERGY explores how social dynamics among end users—like citizens and SMEs—shape behaviors that can accelerate or hinder the Dutch energy transition. Recognizing that current systems resist change, the project adopts a transdisciplinary approach to study cooperation, resistance, and other dynamics in neighborhoods, energy hubs, and communities. By integrating simulations, participatory methods, and co-creation with stakeholders, SYNERGY produces actionable knowledge, tools, and process interventions. It emphasizes energy justice by addressing inequalities in participation and access, and informs effective, inclusive energy policymaking. Through its community of practice, SYNERGY supports practitioners and extends theoretical frameworks on social dynamics in energy transitions.

The PhD candidate will have a position within the Section of Governance and Technology for Sustainability (CSTM) at the Faculty of Behavioural, Management and Social Sciences (BMS), University of Twente in Enschede, The Netherlands. Supervision of the PhD position is in collaboration with Delft University of Technology.