PhD Position in Bidirectional Power Converter Design and Control for Data Centers

As a PhD candidate in the Electromechanics and Power Electronics (EPE) group at TU/e, you will with solid-state transformers (SST) for datacenter, focusing on the DC-DC stage. Your research will address the critical challenges of power density, efficiency, and grid stability in modern data centers, focusing on the converter design and advanced control/modulation strategies to achieve high performance and high controllability. Additionally, the design should be validate with experimental results. Your work will directly contribute to the sustainability of AI infrastructure by enabling data centers to efficiently integrate renewable energy sources, support grid stability, and reduce their carbon footprint. With access to cutting-edge tools and industrial collaboration, you will have the opportunity to shape the future of power electronics for data centers.

PhD in Data- and AI-based solutions to improve child health and outcomes through housing

Millions of children, even in high-income countries, are born and grow up in homes with poor insulation, inadequate heating, or insufficient ventilation, affecting their health and development. While housing upgrades are often motivated by sustainability and affordability goals, we focus on their potential benefits for future generations. How does inadequate housing during pregnancy and early childhood affect children's health and development? Which housing upgrades offer the greatest benefits? And how can behavioural modelling, big data and AI help shape healthier, more equitable homes? These are the questions your PhD research will tackle.

You will join an interdisciplinary team of researchers and practitioners, working at the intersection of housing, public health, climate adaptation, and social equity. Combining medical and behavioural insights, large-scale data analysis, computer vision and advanced statistical methods, you will be tranforming complex unstructured housing and health data into predictive models. The results will feed into a digital tool to predict and optimise the impact of housing upgrades across different scenarios, helping housing providers and municipalities create healthier, more resilient homes for families.

This research is part of the NWO-funded research programme Homes for Upcoming Generations, which brings together social scientists, medical doctors, building engineers and industry partners.

As a PhD candidate, you will be part of the TU/e's internationally renowned Urban Systems and Real Estate group (Department of the Built Environment), conducting cutting-edge research at the intersection of urban systems, real estate, data science, and smart technologies. The four-year program combines advanced training with impactful research, offering strong support for professional development through courses, seminars, and international conferences. You will collaborate closely with scientific partners at Erasmus Medical Centre, Erasmus University Rotterdam, VU University Amsterdam, as well as societal partners including housing providers, municipalities and engineering bureaus.

Assistant Professor

You are expected to establish a strong research programme in one or more of NLNP's strategic areas, including integrated microwave photonics, integrated optical quantum technologies, optical communications, or optical clocks.

A central research theme within NLNP is the development of advanced photonic integrated circuits that enable the generation, processing, distribution, and measurement of optical, RF, and microwave signals. Research leverages both linear and nonlinear optical effects to create highly functional, low-loss, and reconfigurable photonic systems with capabilities such as:

• RF photonic filtering and signal processing;
• True-time delay generation and phase control;
• Optical pulse shaping and frequency synthesis;
• Integrated optical communication subsystems;
• Programmable photonic signal-processing architectures.

You will contribute to the further development of cutting-edge integrated photonic technologies, combining expertise in photonic integration, nonlinear optics, nanofabrication, and system-level design to address fundamental scientific challenges and enable future communication, sensing, timing, and quantum systems.

As an Assistant Professor, you will actively contribute to education and talent development within the Faculty of Science and Technology by:

• Teaching courses in photonics, optics, physics, nanotechnology, and related engineering disciplines;
• Developing and innovating educational programmes and course content;
• Supervising Bachelor's, Master's, and PhD students, as well as postdoctoral researchers;
• Mentoring early-career researchers and fostering a collaborative and inclusive research environment.

Beyond teaching and supervision, you will demonstrate academic leadership through the development of new research initiatives, the establishment of national and international collaborations, the acquisition of external funding, and active contributions to the strategic development of the NLNP group and the broader photonics community. In line with the University of Twente's entrepreneurial spirit, you actively seek opportunities to translate scientific discoveries into societal and economic impact. Your research activities are expected to contribute to technological innovation in fields such as:

• Wireless communication networks (5G/6G and beyond);
• Optical communication systems;
• Quantum technologies;
• Precision timing and optical clock systems;
• Radar, sensing, and space applications;
• Spectrum management and advanced signal processing.

You will engage with academic, industrial, and societal partners to promote knowledge transfer, innovation, and the development of technologies that address real-world challenges. Through your research, teaching, and leadership, you will help strengthen NLNP's position as a leading centre for photonics research and education while contributing to solutions for the communication, sensing, timing, and quantum technologies of the future.

PhD Position: Nitrogen Valorization in High-Temp Electrochemical Cells (F/M/X)

Sustainable ammonia production is an important challenge in the transition towards a climate-neutral chemical industry. Conventional ammonia synthesis is highly energy intensive and relies predominantly on fossil-derived hydrogen. Electrochemical routes offer the possibility to produce ammonia using renewable electricity while enabling new, decentralized production concepts.

This PhD project will focus on the development of advanced materials, electrodes, and membrane-electrode assemblies for high-temperature electrochemical ammonia synthesis using solid oxide and protonic ceramic electrochemical cells (SOC and PCC technologies). The research will address the electrochemical conversion of nitrogen- and NOx-containing streams towards NH3.

The project will combine catalyst and electrode development with ceramic-cell fabrication, electrochemical testing, product analysis, and advanced materials characterization. Different catalyst integration strategies, including infiltration and exsolution, will be investigated to improve activity, selectivity, and long-term stability. Particular attention will be given to electrode–electrolyte interfaces, reaction mechanisms, and degradation under realistic operating conditions.

This PhD position is part of HyNITROGEN (https://groenvermogennl.org/en/nieuws/e20-3-million-for-hynitrogen-consortium-research-into-sustainable-nitrogen-chemistry) a large national research program within GroenvermogenNL that brings together more than 40 academic and industrial partners to develop sustainable production routes for ammonia and other nitrogen-based chemicals using renewable hydrogen and green electricity.

Postdoc position in imaging genetics

As a postdoctoral researcher in imaging genetics, you will coordinate data access and integration across the participating ENIGMA-EEG cohorts. You will help develop research projects, communicate with international collaborators and monitor progress across the consortium.

Working with researchers from different disciplines, you will analyse large-scale genetic and EEG datasets through meta-analyses. You will translate your findings into scientific publications and conference presentations. You will also contribute to developing protocols and workflows that standardise EEG analyses across cohorts.

Your responsibilities include:

• Coordinating data collection, access and integration across participating cohorts.
• Developing research projects in collaboration with international consortium members.
• Conducting meta-analyses of genetic and EEG data and contributing to scientific publications.
• Developing and implementing standardised protocols and workflows for EEG analyses.
• Presenting research findings at scientific conferences and collaborating with researchers across international sites.

You will have opportunities to develop your expertise in advanced data analysis methods, including genome-wide association studies (GWAS), polygenic scoring, machine learning, advanced EEG analyses and multi-site statistics. We will support your professional development through training and collaboration with experts in genetics, neuroscience and data analysis. The role also offers opportunities to visit collaborating research groups.