Postdoc Deep-learning Based Characterization of Engineered Cells for Cultivated Meat

Job description
‘Cultivated meat’, the production of genuine meat products from in vitro culture of animal cells, is an emerging biotechnology within the field of cellular agriculture with the potential to revolutionise food production from both an environmental and ethical perspective. Unfortunately, higher eukaryotic cells have severe limitations when cultured in vitro, including limited cellular lifespans, slow proliferation rates and demanding medium requirements. Characterizing cell properties and identifying cell lines with promising phenotypes typically require months-long, expensive characterization experiments.

Modern computer vision pipelines can significantly speed up this characterization process! We are hiring a postdoctoral scientists to join the group for a fully-funded project of 2 years. Within the Computer Vision Lab at TU Delft, you will build deep-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains, in order to predict important cell parameters to determine the viability of cell lines. You will deal with curating large amounts of data obtained from novel cell lines by the Flack group, and collaborate with microscopy scientists on data aquisition questions.

We’re looking for someone with excellent software development and object-oriented programming skills, ideally with some experience in biomedical image processing.

Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches. There will be ample opportunities to supervise PhD, MSc and BSc students in the group, and to become familiar with grant writing and funding acquisition. Career advice and discussion will be available for both academic and industry-minded scientists. We are a friendly, dynamic and diverse group, performing research on a wide-range of computer vision and machine learning topics. We are looking for highly motivated candidates with strong project management and communication skills who’s excited to grow with us in this interdisciplinary project.

Successful candidates will be embedded within the larger Pattern Recognition and Bioinformatics Group. For more information about the group, please refer to https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics

For more information about the Flack group see https://www.tudelft.nl/tnw/over-faculteit/afdelingen/biotechnology/research-sections/bioprocess-engineering/josh-flack-group

For information about the TU Delft Graduate School, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd

Job requirements
We are looking to build a diverse and complementary project team. Applicants should have or expect to receive a PhD in Computer Science, Engineering or a related field. Experience in some or all of the following or related fields are preferred: biomedical image processing, image or signal processing, software development, machine learning, and pattern recognition.

The successful applicant will have:

• very strong programming skills and experience with deep learning libraries;
• strong python and object-oriented programming skills;
• experience in developing and documenting large software pipelines, including some familiarity with frameworks such as docker and weights and biases;
• extensive experience with computer vision and managing large datasets;
• curiosity and critical thinking skills;
• the ability to work in a multi-disciplinary team;
• motivation to meet deadlines;
• curiosity or willingness to learn about the relevant biology and microscopy rearch;
• good oral and written communication skills;
• an interest in communicating their research results to a wider audience;
• an aptitude for guiding students;
• proficiency in English;

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty 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.

Postdoc Deep-learning Based Characterization of Engineered Cells for Cultivated Meat

Job description
‘Cultivated meat’, the production of genuine meat products from in vitro culture of animal cells, is an emerging biotechnology within the field of cellular agriculture with the potential to revolutionise food production from both an environmental and ethical perspective. Unfortunately, higher eukaryotic cells have severe limitations when cultured in vitro, including limited cellular lifespans, slow proliferation rates and demanding medium requirements. Characterizing cell properties and identifying cell lines with promising phenotypes typically require months-long, expensive characterization experiments.

Modern computer vision pipelines can significantly speed up this characterization process! We are hiring a postdoctoral scientists to join the group for a fully-funded project of 2 years. Within the Computer Vision Lab at TU Delft, you will build deep-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains, in order to predict important cell parameters to determine the viability of cell lines. You will deal with curating large amounts of data obtained from novel cell lines by the Flack group, and collaborate with microscopy scientists on data aquisition questions.

We’re looking for someone with excellent software development and object-oriented programming skills, ideally with some experience in biomedical image processing.

Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches. There will be ample opportunities to supervise PhD, MSc and BSc students in the group, and to become familiar with grant writing and funding acquisition. Career advice and discussion will be available for both academic and industry-minded scientists. We are a friendly, dynamic and diverse group, performing research on a wide-range of computer vision and machine learning topics. We are looking for highly motivated candidates with strong project management and communication skills who’s excited to grow with us in this interdisciplinary project.

Successful candidates will be embedded within the larger Pattern Recognition and Bioinformatics Group. For more information about the group, please refer to https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics

For more information about the Flack group see https://www.tudelft.nl/tnw/over-faculteit/afdelingen/biotechnology/research-sections/bioprocess-engineering/josh-flack-group

For information about the TU Delft Graduate School, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd

Job requirements
We are looking to build a diverse and complementary project team. Applicants should have or expect to receive a PhD in Computer Science, Engineering or a related field. Experience in some or all of the following or related fields are preferred: biomedical image processing, image or signal processing, software development, machine learning, and pattern recognition.

The successful applicant will have:

• very strong programming skills and experience with deep learning libraries;
• strong python and object-oriented programming skills;
• experience in developing and documenting large software pipelines, including some familiarity with frameworks such as docker and weights and biases;
• extensive experience with computer vision and managing large datasets;
• curiosity and critical thinking skills;
• the ability to work in a multi-disciplinary team;
• motivation to meet deadlines;
• curiosity or willingness to learn about the relevant biology and microscopy rearch;
• good oral and written communication skills;
• an interest in communicating their research results to a wider audience;
• an aptitude for guiding students;
• proficiency in English;

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty 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.

PhD Position: Trustworthy Authorization & Compliance

Job description
Within the EU CIPHER project, an experimentation laboratory where essential service providers can assess and strengthen cyber-resilience, your PhD will unite two strands: (i) ethics- and regulation-aware engineering that turns EU frameworks into concrete design requirements, and (ii) just-in-time authorization that enforces real-time, risk-adaptive usage control across organizations. You will design a usage-control pipeline that evaluates every data request against dynamic context, encodes policies as smart contracts on blockchain for transparent, tamper-evident enforcement, and integrates verifiable credentials for cross-border trust. Coupled with a Security Response Manager, the system adapts permissions on the fly. You will also develop compliance-aware guidance and tooling, link authorization to regulatory duties via a checker, and ensure provenance and lifecycle metadata for auditability and continuous monitoring.

The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport, telecommunications, water), demonstrating end-to-end workflows from risk monitoring to authorization and compliance reporting. Throughout the project, you will collaborate closely with cybersecurity engineers, legal/ethics experts, and industry partners; co-supervise master’s students where appropriate; and publish your results at leading venues in security, distributed systems, and responsible/regulated AI   

Job requirements

• MSc in Computer Science, Computer/Software Engineering, or a closely related field.
• Proven skills in access control/usage control (e.g. ABAC/UCON/RBAC) and Blockchain Hyperledger Fabric, Indy, Besu.
• Solid programming ability (Python, Go, Java, Solidity, TypeScript) and software engineering practices.
• Interest or experience with research collaboration with other researchers and external stakeholders as a team player.
• High motivation and a curious and critical mindset.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact

Faculty Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.
Click here to go to the website of the Faculty of Technology, Policy and Management.

PhD Position: Trustworthy Authorization & Compliance

Job description
Within the EU CIPHER project, an experimentation laboratory where essential service providers can assess and strengthen cyber-resilience, your PhD will unite two strands: (i) ethics- and regulation-aware engineering that turns EU frameworks into concrete design requirements, and (ii) just-in-time authorization that enforces real-time, risk-adaptive usage control across organizations. You will design a usage-control pipeline that evaluates every data request against dynamic context, encodes policies as smart contracts on blockchain for transparent, tamper-evident enforcement, and integrates verifiable credentials for cross-border trust. Coupled with a Security Response Manager, the system adapts permissions on the fly. You will also develop compliance-aware guidance and tooling, link authorization to regulatory duties via a checker, and ensure provenance and lifecycle metadata for auditability and continuous monitoring.

The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport, telecommunications, water), demonstrating end-to-end workflows from risk monitoring to authorization and compliance reporting. Throughout the project, you will collaborate closely with cybersecurity engineers, legal/ethics experts, and industry partners; co-supervise master’s students where appropriate; and publish your results at leading venues in security, distributed systems, and responsible/regulated AI   

Job requirements

• MSc in Computer Science, Computer/Software Engineering, or a closely related field.
• Proven skills in access control/usage control (e.g. ABAC/UCON/RBAC) and Blockchain Hyperledger Fabric, Indy, Besu.
• Solid programming ability (Python, Go, Java, Solidity, TypeScript) and software engineering practices.
• Interest or experience with research collaboration with other researchers and external stakeholders as a team player.
• High motivation and a curious and critical mindset.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact

Faculty Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.
Click here to go to the website of the Faculty of Technology, Policy and Management.

Postdoc Researcher on Simulation of Lined-Rock Caverns for Cyclic Hydrogen Storage

Job description
Underground hydrogen storage (UHS) is emerging as a key enabler for balancing renewable energy supply and demand. Yet many regions lack the suitable geology needed for conventional UHS. HyCavern responds to this gap by developing costeffective, safe, and standardized solutions for H2 storage in mined, lined rock caverns (LRC). By tackling key technical, economic, and geological challenges, in this project (HyCavern) we unlock scalable hydrogen infrastructure in areas previously considered unsuitable and increase the lifespan of storage caverns. Among the 15 partners in this unique EU project, at TU Delft we will conduct multiscale simulation for mechanics safety analyses of hydorgen storage in these lined-rock caverns. We will utilize our expertise in elstic/plastic modeling of various porous and non-porous materials to realize the stress and strain developments and evolution in time, during the storage of hydorgen in the caverns. This will scale up the utilization of the LRC as a feasible technology for energy storage.

Our work is integrated within the entire consortium work, in order to maximize the effectiveness of the research outcomes. Our research focus will include

1. Development and extension of an open-source simulator (SafeInCave) with public video-lecture for modelling hydrogen storage in Lined-Rock-Caverns (LRC).
2. Reliable model construction and parameter calibration against laboratory tests and
3. Sensitivity analyses for LRC performance and identification of the key processes in LRC performance and safety.

High level of communication skills and rigorous modeling and simulation analyses are key factors in achieveing our goals successfully.
Currently in our department of Geoscience and Engineering, we are conducting several research on underground hydrogen storage in porous media and salt caverns. This project, i.e., HyCavern, will be the first in the department related to the hydrogen storage in lined-rock caverns.

As a postdoc, you will contribute to the development of the SafeInCave simulator, as highlighted above, so to address the societally challenging energy storage topic by designing a safe operational conditions for utilization of LRC.

Beside the technical work, the postdoc is expected to dessiminate the research effectively through short courses, seminars and conferences, as well as the consortium ggatherings related to the HyCavern project.

The postdoc will be hosted in the Section of Reservoir Engineering of Geoscience and Engineering Department of TU Delft, which is at the Faculty of Civil Engineering and Geosciences. In the Reservoir Engineering Section various experimental, modeling and simulation projects are undergoing on different energy storage applications including hydrogen. For more effective scientific development, we will collaborate with the Engineering Structure Departmet within our Faculty too. We also expect the postdoc to contribute in mentoring activities related to our undergraduate and graduate students, for their thesis projects related to the lined-rock caverns. This also helps the professional career of the posdtco, as well as the content of the research.

Job requirements
With an innate curiosity, we are seeking a creative researcher who can plan, execute, deliver and communicate their research effectively in a diverse groups of talents. The ideal candidate is a team player who thrives working with people in different organisations (academia and industry) with different (technical and non-technical) skill sets. Having a good command of English (both writing and spoken) is crucial. Successful candidate needs to have obtained their PhD in broad Engineering Domain (including but not limited to geoscience and engineering) with special focus on numerical simulation. It is highly advantagous to have background on computational mechanics.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty of Civil Engineering and Geosciences
The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.