Postdoctoral Researcher Geophysical Subsurface Imaging, AI, and Digital Twins

The University of Twente, Faculty ITC, wishes to increase the number of women in the faculty to have a more balanced staff profile. During all phases of the selection process, we will therefore prioritize selecting women who fit the profile.

Your challenge
Changing environmental conditions such as soil moisture, temperature, and subsurface heterogeneity strongly influence the quality of geophysical observations. Improving our ability to image and monitor the subsurface is essential for applications in infrastructure management, environmental monitoring, climate adaptation, and sustainable urban development.

You will develop and apply advanced methods for subsurface characterization by combining geophysical sensing, physical modelling, and artificial intelligence. You will:

• design and conduct research using geophysical techniques such as Ground Penetrating Radar (GPR), Electrical Resistivity Tomography (ERT), seismic, and electromagnetic methods;
• analyse and integrate geophysical datasets to characterize subsurface structures, buried infrastructure, and material properties;
• develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction;
• build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches;
• contribute to the development of dynamic digital twins for subsurface monitoring, forecasting, and decision support;
• collaborate with researchers and external stakeholders, publish results in leading journals, and present findings at international conferences.

The project offers the opportunity to work at the intersection of geophysics, AI, and digital twinning, contributing to next-generation technologies for understanding and managing the subsurface.

This position is embedded within the national Sectorplan Earth and Environmental Sciences (AMW) programme and contributes to strategic research investments addressing climate resilience, environmental monitoring, and sustainable infrastructure management.

Student Affairs Officer (0,7 - 0,9 fte)

Je bent in deze positie onderdeel van het team Education and Student Affairs (ESA) van de faculteit Mathematics and Computer Science (MCS).
Het ESA-team is verantwoordelijk voor alle onderwijsondersteuning (Bachelor’s en Master's) van de faculteit.
In deze functie is het belangrijk dat jij je proactief, servicegericht, communicatief en flexibel kunt opstellen en dat je een goed overzicht weet te behouden.

Als Student Affairs Officer vervul je o.a. de volgende taken:

• Ondersteunen van de examencommissie secretarissen met administratieve taken;
• Uitvoeren van de onderwijs- en examenadministratie zoals het controleren en administratief verwerken van keuzepakketten van studenten;
• Genereren van overzichten van relevante student- en onderwijsgegevens;
• Verwerken van examenprogramma’s en beoordelingen;
• Ondersteunen van docenten bij het voorbereiden, afnemen en invoering van tentamens en cijfers;
• Het ondersteunen van activiteiten zoals diploma-uitreikingen en bijeenkomsten;
• Communicatie met studenten (via de website, email, telefoon, etc.);
• Administratie, coördinatie en monitoring van processen in o.a. Osiris;
• Optimaliseren van werkprocessen en doen van verbetervoorstellen;
• Andere onderwijs administratieve en logistieke werkzaamheden.

Research Engineer on Open-Source Foundation Models

Snapshot

AI is reshaping our world. Now you get to shape AI. This large and ambitious project aims to develop a groundbreaking family of advanced, multilingual, open source foundation models based on solid research on model architecture, data quality, scaling, generalizability, finetuning, and safety. It combines the unique expertise of AI companies and top academic labs to create models with stronger generalization and finetuning capabilities, as well as enhanced transparency and safety. This will be an inclusive, community-driven project designed to and foster a new wave of innovation and scientific advancement.

The team
This position is hosted by the research group on Advanced Models by Open Research & Engineering (AMOR/e), providing an ideal environment for advanced AI research and collaboration. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems. In addition to producing highly-cited research published at top academic venues, we build models and systems that are widely used by people every day. This work is also part of the OpenEuroLLM project, a large and talented team with world-class labs and experts across Europe, supported by well-known companies with advanced knowledge of LLM development.

The role
We are looking for an exceptional research engineer with a passion for AI and open-source development. In this role, you will design and build cutting-edge tools and software that will shape the future of foundation models, used by millions of people worldwide. We appreciate a strong empirical and theoretical understanding of deep learning.

Key responsibilities:
Contribute to one or more of the following tasks:

• Develop and implement scalable, efficient model architectures and fine-tuning techniques.
• Build robust data processing pipelines to enhance learning and generalization.
• Design and implement benchmarks and evaluation tools.
• Optimize (pre)training processes and contribute to the development of innovative LLM systems with real-world applications.
• Create tools for continuous evaluation, monitoring, and visualization of training progress.
• Collaborate with a team of researchers to tackle challenging technical problems and publish in top venues.

What we’re looking for
A motivated and skilled software engineer passionate about open source development and building high-quality, highly scalable AI systems as part of a team. Experience with machine learning, MLOps, foundation models, or LLMs is a strong plus.

Impact
This is your chance to make a real-world impact by advancing open-source foundation models while collaborating with leading AI researchers and innovative AI companies. Gain invaluable new skills as you help democratize AI, develop cutting-edge models, and create more efficient fine-tuning techniques that empower responsible innovation and drive scientific progress.

(Junior) Researcher for Computational design workflow for 3d printed footwear

Job description

The Faculty of Industrial Design Engineering at TU Delft is seeking three highly motivated researchers to join an exciting collaborative research project on 3D-printed footwear innovation, carried out in close collaboration with industrial partners.

The project aims to develop an integrated computational design and digital fabrication workflow for next-generation footwear. The research combines biomechanics, computational design, mechanical metamaterials, additive manufacturing, and digital workflows to create novel footwear concepts with improved performance and manufacturability.

One of the three positions will focus on computational design and fabrication workflow.

This researcher will develop the computational design workflow that connects performance requirements with digital design and fabrication.

Responsibilities:

• Develop computational design workflows
• Build parametric design tools using Rhino and Grasshopper
• Integrate design, analysis, and manufacturing constraints
• Prepare manufacturable digital models for additive manufacturing
• Support the integration of the overall design-to-fabrication workflow

Job requirements

• MSc (or equivalent) in Industrial Design Engineering, Mechanical Engineering, or a related discipline
• Experience with Rhino and Grasshopper
• Strong programming and computational design skills
• Familiarity with digital fabrication and additive manufacturing
• Experience with geometry processing, algorithmic design, or CAD automation is an advantage

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Industrial Design Engineering
Matching the evolution of people with the speed of the revolution of technology. This is the focus of the Faculty of Industrial Design Engineering (IDE). Delft designers act as a bridge between advances in technology and the needs of people, organisations and society to create products, services and systems with purpose.

IDE is a leader in design research across the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.

In close cooperation with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future.

Click here to go to the website of the Faculty of Industrial Design Engineering.

PhD Position Numerical Analysis

Job description

The Numerical Analysis group within the Delft Institute of Applied Mathematics at TU Delft (see link) is offering a full-time PhD position in the area of efficient structure preserving finite element methods for time-dependent PDEs.

Time-dependent PDEs are ubiquitous in science and engineering, governing the behaviour of fluids, electromagnetics, and many other physical systems. Numerical discretization techniques are fundamental to obtaining (approximate) solutions of these PDEs. Better approximations are typically achieved by refining the mesh and time steps, and/or increasing the order of the methods (e.g. increasing the degree of basis functions in finite elements), leading to larger systems that are computationally more expensive to solve. For this reason, numerical methods that can produce a more accurate solution with the same mesh, time step, and order are advantageous. One approach to constructing more accurate numerical methods is to design them such that key properties of the PDEs are exactly preserved, instead of only approximated: for example, conservation of energy, mass, and momentum; symplecticity; or preservation of the underlying de Rham complex structure. This class of numerical methods is called structure-preserving discretization, and is the main topic of this project. Specifically, this project will focus on both the construction of structure-preserving discretizations for time-dependent PDEs and the efficient solution of the resulting systems with iterative solvers for large-scale systems and HPC. The ultimate aim is to develop solvers that have strong theoretical foundations and are practically viable for real-world applications.

The PhD will be supervised by Artur Palha in the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to structure-preserving finite element methods, iterative methods, and parallel computing.

Besides carrying out mathematical research and preparing scientific publications, you will be expected to actively participate in seminars and discussions within the department, as well as present your work at (inter)national conferences and workshops. You will also carry out minor teaching tasks (at most 15% of your time). Teaching and communication will be in English. If desired, you can take Dutch language courses offered by the TU Delft Language Center.

Job Requirements

• Strong Background: You hold a Master’s degree (MSc) in Applied Mathematics, Computational Science, Physics, Aerospace Engineering, or a closely related field. You have a solid foundation in numerical analysis, partial differential equations, and numerical linear algebra.
• Theoretical and Practical Balance: You enjoy developing and analyzing mathematical theory, but also have the skills and motivation to implement algorithms and test them in practice.
• Programming Skills: You are proficient in at least one scientific programming language (such as Python, Julia, C++, or MATLAB) and are motivated to work with parallel computing environments.
• Collaborative Communicator: You are able to communicate your ideas clearly and work effectively with a diverse set of researchers and stakeholders, both within mathematics and in application domains.
• Curious and Open-Minded: You are eager to explore connections between mathematics, physics, and computing, and motivated to learn new techniques.
• Internship Experience: An internship or collaboration in or outside academia is a plus, but not required.
• Inclusive Outlook: We welcome applications from researchers who will add to the diversity of our team, in the broad and intersectional sense of the word.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.