33 Fully Funded PhD Positions at Eindhoven University of Technology Netherlands

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Eindhoven University of Technology (TU/e) is a globally recognized leader in innovation, fostering a dynamic and collaborative environment where scientific curiosity meets practical application. Renowned for its top-five position in industry collaboration, TU/e is at the forefront of addressing complex societal challenges through cutting-edge research.

The university is currently offering 33 fully funded PhD positions across various departments, including Mathematics and Computer Science, Electrical Engineering, Built Environment, Mechanical Engineering, Applied Physics and Science Education, and Industrial Engineering & Innovation Sciences.

Each project provides an opportunity to work with leading academics, industry partners, and state-of-the-art facilities, contributing to solutions for a sustainable and technologically advanced future. You can also checkout 15 Fully Funded PhD and Postdoctoral Opportunities at the University of Tübingen Germany

Benefits

Pursuing a PhD at Eindhoven University of Technology offers a range of benefits designed to support your academic and professional growth:

Fully Funded Position: Full-time employment for four years (or five years for PhD-TA roles), with a competitive salary (€2,901 – €3,707 per month, scale P), an 8.3% year-end bonus, and 8% annual vacation pay, in accordance with the Collective Labour Agreement for Dutch Universities.
Comprehensive Support: Access to high-quality training programs, a Staff Immigration Team, and a tax compensation scheme (30% facility) for international candidates.
State-of-the-Art Facilities: Work on a beautiful, green campus with excellent technical infrastructure, on-campus childcare, and sports facilities.
Professional Development: Opportunities to develop teaching skills through a minimum of 10% and a maximum of 15% teaching tasks per year, with additional coaching and mentoring responsibilities.
Interdisciplinary Collaboration: Engage in an international network, collaborating with academic and industrial partners to ensure real-world impact.
Work-Life Balance: Benefits include paid pregnancy and maternity leave, partially paid parental leave, and allowances for commuting, working from home, and internet costs.

How to Apply

The application process for all PhD positions at TU/e is streamlined and conducted online. To ensure your application is considered, follow these steps:

Prepare Your Documents: Submit a complete application as a single PDF file, including:

A cover letter detailing your motivation and qualifications for the position.
A curriculum vitae, including a list of publications (if applicable) and contact information for three references.
Additional documents as specified (e.g., MSc thesis summary, grade transcripts, research proposal, or proof of English proficiency for some positions).

Submit Online: Use the “apply now” button on the respective position’s webpage to upload your application. Applications sent via email or incomplete submissions will not be considered.

Application Screening: Applications are screened as soon as they are received, and positions remain open until filled. Early applications are encouraged, especially for positions with deadlines as early as July 20, 2025.

All Available Positions (Please click on specific project to view details)

2 PhD Positions on Data-Based Performance Optimization of Controllers for Metrology Equipment

These PhD positions at Eindhoven University of Technology focus on developing data-based optimization techniques to enhance motion controller performance for semiconductor metrology equipment, in collaboration with Nearfield Instruments. The project aims to improve precision and speed in semiconductor technology through advanced control strategies.

Eligibility Criteria

Master’s degree in systems and control, mechanical engineering, electrical engineering, or applied mathematics.
Strong background in dynamical systems and control theory.
Affinity with mechatronics or robotics applications.
Proficiency in programming (e.g., Matlab, Python).
Ability to work independently and in a team.
Fluent in spoken and written English.

Application

Apply for this project: 2 PhD Positions on Data-Based Performance Optimization
Deadline: August 31, 2025

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2 PhD Positions on Heat Storage for Flexible Industrial Processes

Part of the FLEXPower project, these PhD roles at Eindhoven University of Technology aim to electrify industrial heat processes using heat storage and upgrading technologies. Position 1 focuses on high-temperature phase change materials and heat pumps, while Position 2 explores thermochemical materials. The project collaborates with industry partners like TNO and involves dynamic system modeling and material testing.

Eligibility Criteria

Master’s degree in mechanical engineering, energy science, electrical engineering, or related fields.
Strong programming skills for data analysis and system modeling.
Analytical and systems-thinking abilities.
Passion for energy transition challenges (technology, economics, policy).
Ability to work in an interdisciplinary team and collaborate with industry.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: 2 PhD Positions on Heat Storage
Deadline: August 17, 2025

DC7 PhD In-Situ Evaluation of the EMI Footprint of Large Interconnected Systems

Funded by the Marie-Skłodowska-Curie Doctoral Network (iSense), this PhD position at Eindhoven University of Technology develops frameworks for in-situ evaluation of electromagnetic interference (EMI) in complex systems. The project explores advanced measurement setups (e.g., Vibrating Intrinsic Reverberation Chamber) and machine learning algorithms, with secondments at UNILIM (France) and Canon (Netherlands).

Eligibility Criteria

Master’s degree in electrical engineering or a related field (or expected by end of 2025).
Knowledge or interest in electromagnetic compatibility, electronics design, machine learning, RF measurements, or antenna theory.
Strong communication skills and ability to work in a research team.
Fluent in spoken and written English.
Must comply with Marie-Skłodowska-Curie mobility rules (not resided in the Netherlands for more than 12 months in the last 3 years).

Application

Apply for this project: DC7 PhD In-Situ EMI Evaluation
Deadline: July 27, 2025

Clinical PhD Cardiovascular Coupling Between Mother and Fetus

This PhD position at Eindhoven University of Technology, part of the MAPPING project, investigates the cardiovascular coupling between mother and fetus to improve clinical outcomes in high-risk pregnancies. Conducted at Máxima Medical Center, the research involves clinical studies using Doppler ultrasound, maternal-fetal ECG, and electrohysterography to develop coupling maps for clinical use.

Eligibility Criteria

Master’s degree in medicine or technical medicine.
Strong interest in clinical research.
Team player with a collaborative mindset.
High motivation, creativity, and structured work approach.
Excellent Dutch communication and organizational skills for clinical settings.
Excellent English language skills (writing and presentation).

Application

Apply for this project: Clinical PhD Cardiovascular Coupling
Deadline: July 30, 2025

Clinical PhD in Continuous Electrophysiological Monitoring in Obstetric High Care

Part of the NIEM-O project, this PhD position at Eindhoven University of Technology evaluates continuous electrophysiological cardiotocography (eCTG) for 24/7 fetal monitoring in high-risk pregnancies at Máxima Medical Center. The role includes conducting a randomized controlled trial, patient enrollment, data collection, and statistical analysis to improve clinical outcomes.

Eligibility Criteria

Master’s degree in medicine or technical medicine.
Experience in maternity care (preferred).
Strong interest in clinical research; methodological expertise is a plus.
Team player with a collaborative mindset.
High motivation, creativity, and results-oriented approach.
Excellent Dutch communication and organizational skills for clinical settings.
Excellent English language skills (C1 level).

Application

Apply for this project: Clinical PhD in Continuous Monitoring
Deadline: July 28, 2025

PhD Mechanical Contact Information Processing of Soft and Large-Area Robot Skin

This PhD position at Eindhoven University of Technology focuses on developing soft, large-area robot skin for tactile sensing in robotics. The project involves designing experimental setups, creating numerical models, and integrating physics-based and data-driven approaches to estimate contact information, enhancing robot interaction in industrial and societal applications.

Eligibility Criteria

Master’s degree in mechanical engineering, electrical engineering, control engineering, or related fields.
Knowledge of numerical methods, preferably in contact and solid mechanics.
Experience in programming (C/C++, MATLAB/Python) and machine learning.
Interest in mechatronics and robotics (preferred).
Research-oriented mindset with a willingness to tackle multidisciplinary challenges.
Proficiency in spoken and written English (C1 level or higher).

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Application

Apply for this project: PhD Mechanical Contact Information Processing
Deadline: September 28, 2025

PhD on Flexibility in Electrified Industrial Processes

This PhD position at Eindhoven University of Technology, part of the DEFLAME project, focuses on developing flexibility strategies for electrified industrial heat processes using renewable energy. The research involves analyzing flexibility options (e.g., hybrid heating, heat/electricity storage), creating integrated solutions for various industries, and constructing a merit order through dynamic modeling.

Eligibility Criteria

Master’s degree in mechanical engineering, energy science, electrical engineering, or related fields.
Solid programming skills for data analysis and system modeling.
Strong analytical and systems-thinking abilities.
Passion for energy transition challenges (technology, economics, policy).
Ability to work in an interdisciplinary team and collaborate with industrial partners.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Flexibility in Electrified Industrial Processes
Deadline: July 20, 2025

This PhD position at Eindhoven University of Technology develops efficient, trustworthy AI models for safety-critical applications, focusing on multi-modal perception (e.g., radar, LiDAR, camera fusion) and transformer-based architectures. The research emphasizes robustness, explainability, and resource efficiency for real-time operation on embedded platforms.

Eligibility Criteria

Master’s degree in computer science or a related field.
Experience in programming and empirical analysis in deep learning (e.g., Python, PyTorch).
Excellent problem-solving skills and ability to work independently and collaboratively.
Research-oriented attitude and interest in collaborating with industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on AI for Safety-Critical Multi-Modal Learning
Deadline: July 20, 2025

PhD on Collective Decision-Making Algorithms for Autonomous Driving

Part of the AIGGREGATE project at Eindhoven University of Technology, this PhD position focuses on developing provably safe model predictive control algorithms for autonomous driving. The research integrates AI and control theory to create human-centric, proactive decision-making systems for complex traffic scenarios involving connected and non-connected road users.

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Eligibility Criteria

Master’s degree in computer science, control engineering, robotics, automotive technology, or equivalent.
Proven programming skills in Python or C++; experience with ROS2 is a plus.
Experience with dynamic programming, model predictive control, and formal methods.
Research-oriented attitude and ability to work in an interdisciplinary team.
Interest in collaborating with industrial partners.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: Apply here
Deadline: July 28, 2025

PhD on Combined Physics- and Machine Learning-Based Modeling of Complex Dynamical Systems

This PhD position at Eindhoven University of Technology, within the Dynamics and Control section, focuses on hybrid modeling combining physics-based and machine learning techniques to predict the behavior of complex dynamical systems, such as semiconductor equipment for hybrid bonding (ASMPT). The project aims to develop highly accurate models for high-tech applications, involving two PhD students.

Eligibility Criteria

Master’s degree in dynamical systems, mechanical engineering, electrical engineering, AI, machine learning, or applied mathematics.
Strong background in dynamical systems, systems theory, and machine learning.
Affinity with mechatronics or robotics applications.
Proficiency in programming (e.g., Matlab, Python).
Ability to work independently and in a team.
Fluent in spoken and written English.

Application

Apply for this project: PhD on Combined Physics- and Machine Learning-Based Modeling
Deadline: August 31, 2025

PhD on Continuous Real-Time Biomolecular Sensing with Single-Molecule Resolution

This PhD position at Eindhoven University of Technology, part of the iControl collaboration, develops biosensing technology for continuous real-time monitoring of low-concentration biomolecules (e.g., proteins, drugs) using Biosensing by Particle Motion (BPM). The research investigates biomolecular aspects like affinity binders to enhance sensor performance, with applications in healthcare.

Eligibility Criteria

Master’s degree in bio-engineering, chemical engineering, biomedical engineering, or analytical chemistry.
Research-oriented attitude.
Ability to work in an interdisciplinary team and collaborate with industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Continuous Real-Time Biomolecular Sensing
Deadline: August 31, 2025

PhD on Data Integration and Typology-Based BES Modelling for Positive Energy Districts

Part of the EmPowerED project at Eindhoven University of Technology, this PhD position develops scalable building energy models (BES) for Positive Energy Districts using data-driven typologies from public datasets (e.g., BAG, CBS). The research focuses on clustering, sensitivity analysis, and automated workflows to support sustainable urban energy systems.

Eligibility Criteria

Master’s degree in environmental engineering, building engineering, building physics, or data science.
Strong skills in Python, GIS, and machine learning.
Research-oriented attitude.
Ability to work in an interdisciplinary team and collaborate with industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Data Integration and BES Modelling
Deadline: August 17, 2025

PhD on Design and Nanoscopy of Metasurfaces for Fluorescence Enhancement

This PhD position at Eindhoven University of Technology, within the Surface Photonics and Molecular Plasmonics groups, focuses on developing metasurfaces to enhance single-molecule fluorescence sensors. The project designs low-loss metasurfaces using dielectric or semiconductor nanoparticles to improve temporal resolution in biosensing, leveraging numerical simulations, nanofabrication, and super-resolution microscopy.

Eligibility Criteria

Master’s degree in physics or a related field.
Experience in nanophotonics or plasmonics (preferred).
Research-oriented attitude.
Ability to work in an interdisciplinary team and collaborate with industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

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Application

Apply for this project: Apply here
Deadline: July 27, 2025

PhD on Dynamic Manipulation in Semi-Structured Industrial Settings

This PhD position at Eindhoven University of Technology, within the Robotics section, develops contact-rich and impact-aware strategies for robotic manipulation in semi-structured environments. The research uses robot control, learning, and physics simulation to enable fast pick-and-place and assembly tasks, targeting industrial applications like handling heavy objects in cluttered settings.

Eligibility Criteria

Master’s degree in mechanical engineering, electrical engineering, control engineering, computer science, or related fields.
Knowledge in robot dynamics, machine learning, and control theory.
Proficiency in programming (Python, C/C++) and machine learning frameworks.
Experience with robotic manipulation experiments.
Research-oriented mindset and willingness to work on multidisciplinary projects.
Fluent in spoken and written English (C1 level or higher).

Application

Apply for this project: PhD on Dynamic Manipulation
Deadline: August 18, 2025

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PhD on Energy-Efficient Online Learning Using Compute-in-Memory Architectures

Part of the REACT MSCA Doctoral Network at Eindhoven University of Technology, this PhD position develops a gain-cell memory-based compute-in-memory (CIM) architecture for energy-efficient online learning at the edge. The research focuses on reducing power and latency in neuromorphic computing, with fault detection for reliable operation in applications like sensor fusion.

Eligibility Criteria

Master’s degree in electrical engineering or equivalent (no prior doctoral degree).
Knowledge of digital/mixed-signal IC design and computer architecture.
Proficiency in HDL (Verilog, VHDL) and scripting languages (Python, TCL).
Experience with EDA tools (Cadence/Mentor Graphics).
Knowledge of neuromorphic architectures and low-power IC design (preferred).
Must comply with MSCA mobility rule (not resided in the Netherlands for more than 12 months in the last 3 years).
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Energy-Efficient Online Learning
Deadline: July 20, 2025

PhD on FEM Modelling of Sewer-Liner Failure under Chemo-Hygro-Mechanical Loading

This PhD position at Eindhoven University of Technology, part of the AI:LINER project, develops a Finite Element Method (FEM) framework to predict sewer-liner system failure under chemo-hygro-mechanical loads. The research integrates damage, plasticity, and fracture models, validated with experimental data, to enhance the sustainability of urban infrastructure.

Eligibility Criteria

Master’s degree in civil engineering or mechanical engineering, specializing in applied or computational mechanics.
Research-oriented attitude.
Ability to work in an interdisciplinary team and collaborate with academic/industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

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Application

Apply for this project: PhD on FEM Modelling of Sewer-Liner Failure
Deadline: October 1, 2025

PhD on GPU Accelerated Symbolic Reasoning about Software Systems

This PhD position at Eindhoven University of Technology, part of the GUESS project, focuses on GPU-accelerated symbolic reasoning to enhance supervisory controller synthesis for high-tech systems. The research aims to improve software correctness and safety for infrastructure like waterway locks, collaborating with a second PhD in the Supervisory Control group.

Eligibility Criteria

Master’s degree in computer science.
Experience in programming (parallel programming not required).
Knowledge of formal verification or parallel programming/high-performance computing, with interest in learning the other.
Ability to work in an interdisciplinary team.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on GPU Accelerated Symbolic Reasoning
Deadline: August 4, 2025

PhD on GPU Enhanced Synthesis of Supervisory Controllers

Part of the GUESS project at Eindhoven University of Technology, this PhD position develops GPU-accelerated supervisory controller synthesis for discrete event systems, targeting safe and efficient software for infrastructure like bridges and tunnels. The research collaborates with a second PhD in the Parallel Software Development group.

Eligibility Criteria

Master’s degree in control engineering, computer science, mechanical engineering, or electrical engineering.
Knowledge of discrete event systems or formal verification, with interest in learning the other.
Research-oriented attitude.
Ability to work in an interdisciplinary team.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Check more positions: 51 Fully Funded Marie Curie PhD Scholarships

Application

Apply for this project: PhD on GPU Enhanced Synthesis of Supervisory Controllers
Deadline: August 17, 2025

PhD on Hierarchical Diagnostics of Complex Dynamical Systems

This PhD position at Eindhoven University of Technology, part of the Holistic Design Automation project, develops hierarchical diagnostic tools for fault isolation in complex dynamical systems like semiconductor equipment. The research, conducted with ASML, combines mathematical systems, control theory, and machine learning to ensure provable diagnostics performance.

Eligibility Criteria

Master’s degree in systems and control, mechanical engineering, electrical engineering, or applied mathematics.
Strong background in mathematical systems and control theory.
Affinity with mechatronics or robotics applications.
Proficiency in programming (e.g., Matlab, Python).
Ability to work independently and in a team.
Fluent in spoken and written English.

Application

Apply for this project: PhD on Hierarchical Diagnostics
Deadline: August 24, 2025

PhD on Intelligent Photonic-Switched Networks for Low-Latency Applications

This PhD position at Eindhoven University of Technology, in collaboration with KPN, develops energy-efficient photonic-switched network architectures for 6G and high-capacity applications. The research focuses on photonic cross-connect nodes, advanced control systems, and performance monitoring to reduce optical-electrical-optical conversion and support low-latency, high-capacity networks.

Eligibility Criteria

Master’s degree in electrical engineering, telecommunications, applied physics, or computer science.
Solid knowledge of optical fiber communications and systems.
Familiarity with optical/electronic lab equipment and semiconductor devices.
Proficiency in programming (e.g., OMNET, Python, VHDL/Verilog).
Knowledge of SDN/VNF, photonic devices, or machine learning (preferred).
Fluent in spoken and written English.

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Application

Apply for this project: PhD on Intelligent Photonic-Switched Networks
Deadline: August 3, 2025

PhD on Investigating and Fostering Socio-Technical Transformation at the Nexus of Electricity, Heat, and Mobility

This PhD position at Eindhoven University of Technology, within the Technology, Innovation & Society group, investigates socio-technical transformations across electricity, heat, and mobility systems to support sustainable energy transitions. Using qualitative case studies, the research explores multi-system interactions in energy communities and municipalities, contributing to projects like EmPowerED and SmartCORE.

Eligibility Criteria

Master’s degree in social sciences (e.g., innovation sciences, STS, transition studies, sociology).
Experience with qualitative (and preferably quantitative) research methods.
Experience with transdisciplinary or action-oriented research (preferred).
Strong organizational, communicative, and connective skills.
Fluent in spoken and written English (C1 level); Dutch proficiency is an advantage.

Application

Apply for this project: PhD on Socio-Technical Transformation
Deadline: August 31, 2025

PhD on Metasurfaces for Single-Molecule Biosensing

This PhD position at Eindhoven University of Technology, within the Molecular Plasmonics and Surface Photonics groups, focuses on leveraging dielectric and plasmonic metasurfaces for single-molecule fluorescence sensing. The research quantifies fluorescence enhancement using single-molecule spectroscopy and super-resolution microscopy, targeting fast protein interaction sensing, in collaboration with another PhD student designing the metasurfaces.

Eligibility Criteria

Master’s degree in physics or a related field.
Experience in single-molecule microscopy or plasmonic biosensing (preferred).
Research-oriented attitude.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Metasurfaces for Single-Molecule Biosensing
Deadline: July 27, 2025

PhD on ML Accelerated Simulations and Uncertainty Quantification of Composites

This PhD position at Eindhoven University of Technology develops multiscale and multiphysics models for sustainable natural fiber composites, focusing on mechanical, thermal, and diffusion properties. The research integrates machine learning and uncertainty quantification (e.g., Monte Carlo, Bayesian inference) to predict material performance, with applications in construction and automotive industries.

Eligibility Criteria

Master’s degree in mechanical engineering, civil engineering, computational mechanics, or mathematical engineering.
Strong background in mechanics of materials and multi-scale/multi-physics methods.
Experience in uncertainty quantification or machine learning (preferred).
Proficiency in English (C1 level).
Interest in interdisciplinary projects combining computational frameworks and machine learning.

Application

Apply for this project: PhD on ML Accelerated Simulations
Deadline: August 24, 2025

PhD on Model-Enhanced Thermofluidic Flow Sensing for Emulsions

Part of the INFERNO project at Eindhoven University of Technology, this PhD position develops physics-based and machine learning models for thermofluidic flow sensing of emulsions. The research, in collaboration with the University of Twente, integrates numerical models with Bayesian inference to infer material properties like viscosity, validated through microfluidic experiments.

Eligibility Criteria

Master’s degree in mechanical engineering, applied physics, computational science, aerospace engineering, or civil engineering.
Strong background in fluid mechanics, numerical modeling, or computational physics/mechanics.
Proficiency in programming (e.g., Python, MATLAB, Julia, C++).
Research-oriented mindset and critical thinking.
Fluent in English (C1 level).

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Application

Apply for this project: PhD on Model-Enhanced Thermofluidic Flow Sensing
Deadline: August 17, 2025

PhD on Multi-Faceted Visual Process Analytics

This PhD position at Eindhoven University of Technology, within the Visualization cluster, develops visual analytics techniques for event sequence exploration in process mining. The research integrates visualization and process mining to analyze multi-faceted process attributes (e.g., time, resources, spatial distribution), enhancing insights for complex processes like supply chains.

Eligibility Criteria

Master’s degree in computer science, applied mathematics, or electrical engineering.
Strong background in visualization or visual analytics; process mining/event visualization knowledge is a plus.
Proficiency in object-oriented GUI programming (e.g., Qt/C++, Java, Python).
Creative, critical, and analytical mindset.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Multi-Faceted Visual Process Analytics
Deadline: September 1, 2025

This PhD position at Eindhoven University of Technology, part of a collaborative European project, develops open-source multi-modal foundation models. The research focuses on model training, parameter-efficient finetuning, and evaluation for new modalities like tabular and time-series data, aiming to democratize AI with real-world applications.

Eligibility Criteria

Master’s degree in computer science or related field.
Strong understanding of deep learning and generative AI.
Experience in programming and empirical analysis (e.g., Python, PyTorch).
Ability to work independently and collaboratively with industrial partners.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Multi-Modal Open-Source Foundation Models
Deadline: July 20, 2025

PhD on Multi-Physics Modelling of Long-Term Degradation Behavior of Composite Liners

Part of the AI:LINER project at Eindhoven University of Technology, this PhD position develops multi-physics numerical models to predict the degradation of fiber-reinforced polymer liners in sewer systems under chemical, thermal, and mechanical loads. The research supports sustainable infrastructure through collaboration with experimentalists and European partners.

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Eligibility Criteria

Master’s degree in civil engineering or mechanical engineering, specializing in applied or computational mechanics.
Research-oriented attitude.
Ability to work in an interdisciplinary team with academic/industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Multi-Physics Modelling of Composite Liners
Deadline: October 1, 2025

PhD on Neuromorphic-Photonics-Assisted Front-End for Edge Computing – SpikeHERO Project

This PhD position at Eindhoven University of Technology, part of the SpikeHERO project, develops neuromorphic-photonics-assisted front-ends for energy-efficient edge computing. The research focuses on optical neural networks (ONNs) and spiking neural networks (SNNs) using indium phosphide photonic circuits, targeting low-latency applications like 6G networks and autonomous vehicles.

Eligibility Criteria

Master’s degree in photonics, electrical engineering, applied physics, or related field.
Knowledge of photonic integration, computing, or AI (preferred).
Experience in Python coding and simulation/design skills.
Proactive, curious, and committed attitude.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Neuromorphic-Photonics-Assisted Front-End
Deadline: August 10, 2025

PhD on Numerical Modelling of Subsurface Erosion in Dikes and Geothermal Wells

This PhD position at Eindhoven University of Technology, within the BEHeaT program, develops finite element models to study subsurface erosion in dikes and geothermal wells. The research, combining hydro-mechanical modeling and lab experiments, aims to improve infrastructure safety and geothermal energy systems for sustainable development.

Eligibility Criteria

Master’s degree in civil engineering or mechanical engineering, specializing in applied or computational mechanics.
Research-oriented attitude.
Ability to work in an interdisciplinary team with academic/industrial partners.
Motivated to develop teaching skills and coach students.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Numerical Modelling of Subsurface Erosion
Deadline: October 1, 2025

PhD on Technical Universities as Change Agents for Sustainability Transitions

This PhD position at Eindhoven University of Technology, within the Technology, Innovation & Society group, investigates the role of technical universities like TU/e in driving sustainability transitions. Using action-oriented research, the project develops participatory methods to integrate sustainability into research, education, and governance, supporting TU/e’s Sustainability Office.

Eligibility Criteria

Master’s degree in sustainable innovation, sustainability transitions, or related social sciences field.
Experience in mixed methods research; participatory or action-oriented research preferred.
Strong organizational and communication skills.
Proficiency in English (C1 level); Dutch knowledge is a plus.
Passion for sustainability and university-based initiatives.

Application

Apply for this project: PhD on Technical Universities as Change Agents
Deadline: July 31, 2025

PhD-TA on Evaluation of Threat Assessment using AI

This PhD position at Eindhoven University of Technology, within the Social Software Engineering Group, focuses on evaluating AI-based threat assessment pipelines using large language models (LLMs). The research involves building prototypes, conducting experiments, surveys, and interviews to improve reliability, considering social aspects like ethical values and cognitive biases.

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Eligibility Criteria

Master’s degree in computer science, software engineering, data science, or related field.
Strong interest in software security, threat analysis, and empirical research.
Solid analytical skills and research-oriented attitude.
Ability to work in an interdisciplinary team with industrial partners.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD-TA on Evaluation of Threat Assessment using AI
Deadline: July 20, 2025

PhD on Use-Case-Driven and Scalable Building Energy Modelling for Positive Energy Districts

Part of the EmPowerED project at Eindhoven University of Technology, this PhD position develops scalable building energy simulation models for Positive Energy Districts. The research collaborates with municipalities to create fit-for-purpose models for urban renovation and district energy planning, integrating occupant behavior and varying model complexities.

Eligibility Criteria

Master’s degree in building engineering, building physics, building energy systems modeling, or environmental engineering.
Experience with simulation tools (e.g., Modelica, EnergyPlus); familiarity with uncertainty analysis or urban energy systems preferred.
Research-oriented attitude.
Ability to work in an interdisciplinary team with industrial partners.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Building Energy Modelling for Positive Energy Districts
Deadline: August 17, 2025

PhD on Time-Constrained Microservice Execution

This PhD position at Eindhoven University of Technology, within the Shift2SDV project, focuses on latency-aware orchestration and resource scheduling for microservice-based applications in Software Defined Vehicles. The research uses containerized platforms like Kubernetes to ensure predictable, QoS-aware execution, enhancing system efficiency.

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Eligibility Criteria

Master’s degree in computer science, electrical engineering, or related field.
Strong background in distributed systems and computer networking; microservice orchestration experience preferred.
Proficiency in programming (e.g., C, C++, Go, Python, Rust); familiarity with Kubernetes or Docker is a plus.
Creative, ambitious, and team-oriented mindset.
Fluent in spoken and written English (C1 level).

Application

Apply for this project: PhD on Time-Constrained Microservice Execution
Deadline: August 30, 2025

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