Postdoc - High-Resolution Reconstruction and Urban CFD (UrbanAIR)

Job description
The 3D Geoinformation is looking for a postdoc to work in the intradisciplanary project UrbanAIR. The postdoc will explore the reconstruction of urban environments tailored for CFD simulations (low-high fidelity). The work includes both reconstruction and simulation running experiences.
The last decades there has been a growing interest in urban flows, linked to an increase attraction to the adaptation of the urban environment towards climate change. Some contributions have focused on evaluating the impact of urban layouts on airflows, specifically looking at wind, heat and pollution dispersion. In this position, the researcher will explore techniques (that combine low and high-fidelity CFD simulations) to improve numerical predictions in urban environments, specifically addressing uncertainties related to atmospheric stratification, geometry simplification and changing inflow conditions.

The 3D Geoinformation research group, Section Urban Data Science has an open postdoc position to specifically address the project tasks:

• Tailor urban reconstruction, including vegetation, for multiple CFD codes (low/high fidelity).
• To explore the impact of atmospheric stratification for urban flow simulations considering RANS methodologies, with the aim to develop an uncertainty quantification framework that can account for such variations.

The 3D geoinformation research group focuses on the technologies underpinning geographical information systems (GIS), and aims at designing, developing, and implementing better systems to model 3D cities, buildings and landscapes. It is a multidisciplinary group of around 25 people, including computer scientists, geomatics engineers, and geographers; 6 of them are tenured staff (1 professor, 2 associate-professor, and 3 assistant-professor). It has a history of successful collaborations with the industry and the government: its research has led to open source software and standards for the management and use of 3D geo-data. For more information please go to 3d.bk.tudelft.nl.

Job requirements
You:

• Hold a PhD degree (or almost completed) in aerospace engineering, mechanical engineering, geoinformatics/geomatics, computer science, applied mathematics, or in a related engineering discipline.
• Have experience in computational fluid dynamics, machine learning, 3D modelling, preferably from a programming perspective.
• Have good software development skills. Experience with C++ is beneficial.
• Have excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS of 7.0 per sub-skill (writing, reading, listening, speaking).
• Have an affinity with working in multi‐disciplinary teams in an international oriented environment.

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 Architecture & the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

Click here to go to the website of the Faculty of Architecture and the Built Environment.

Postdoc - High-Resolution Reconstruction and Urban CFD (UrbanAIR)

Job description
The 3D Geoinformation is looking for a postdoc to work in the intradisciplanary project UrbanAIR. The postdoc will explore the reconstruction of urban environments tailored for CFD simulations (low-high fidelity). The work includes both reconstruction and simulation running experiences.
The last decades there has been a growing interest in urban flows, linked to an increase attraction to the adaptation of the urban environment towards climate change. Some contributions have focused on evaluating the impact of urban layouts on airflows, specifically looking at wind, heat and pollution dispersion. In this position, the researcher will explore techniques (that combine low and high-fidelity CFD simulations) to improve numerical predictions in urban environments, specifically addressing uncertainties related to atmospheric stratification, geometry simplification and changing inflow conditions.

The 3D Geoinformation research group, Section Urban Data Science has an open postdoc position to specifically address the project tasks:

• Tailor urban reconstruction, including vegetation, for multiple CFD codes (low/high fidelity).
• To explore the impact of atmospheric stratification for urban flow simulations considering RANS methodologies, with the aim to develop an uncertainty quantification framework that can account for such variations.

The 3D geoinformation research group focuses on the technologies underpinning geographical information systems (GIS), and aims at designing, developing, and implementing better systems to model 3D cities, buildings and landscapes. It is a multidisciplinary group of around 25 people, including computer scientists, geomatics engineers, and geographers; 6 of them are tenured staff (1 professor, 2 associate-professor, and 3 assistant-professor). It has a history of successful collaborations with the industry and the government: its research has led to open source software and standards for the management and use of 3D geo-data. For more information please go to 3d.bk.tudelft.nl.

Job requirements
You:

• Hold a PhD degree (or almost completed) in aerospace engineering, mechanical engineering, geoinformatics/geomatics, computer science, applied mathematics, or in a related engineering discipline.
• Have experience in computational fluid dynamics, machine learning, 3D modelling, preferably from a programming perspective.
• Have good software development skills. Experience with C++ is beneficial.
• Have excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS of 7.0 per sub-skill (writing, reading, listening, speaking).
• Have an affinity with working in multi‐disciplinary teams in an international oriented environment.

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 Architecture & the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

Click here to go to the website of the Faculty of Architecture and the Built Environment.

Junior Management Assistent binnen Leer/Werk-traject TU Delft

Functieomschrijving
Krijg jij de kans om jouw carrière een vliegende start te geven. Of je nu een jonge professional bent, net je vmbo- of havo-diploma hebt gehaald, of een carrièreswitch overweegt, dit leer/werk-traject biedt jou de perfecte combinatie van leren en werken!

Het Delft Center for Systems and Control (DCSC) coördineert de onderwijs- en onderzoeksactiviteiten op het gebied van meet- en regeltechniek aan de TU Delft. Onze onderzoekers doen fundamenteel onderzoek dat uiteindelijk leidt tot innovaties waardoor bijvoorbeeld artsen betere zorg kunnen bieden aan patiënten met nier-, oog- en pancreasziekten of de schoonmaak van onze oceanen door onderwaterrobots automatisch kan worden aangestuurd. In deze dynamische en internationale werkomgeving krijg je volop ruimte om te groeien en jezelf verder te ontwikkelen als support professional. Als junior Management Assistent draag jij je steentje bij en lever je een impact in het verduurzamen van de samenleving.

Wat ga je doen?
Als Junior Management Assistent speel je een cruciale rol binnen het supportteam van DCSC. De cultuur is open, collegiaal en behulpzaam zijn naar elkaar. Je bent onderdeel van een hecht team. Binnen het secretariaat werken momenteel twee managementassistenten, die naast algemene ondersteuning elk een eigen aandachtsgebied hebben. Jullie fungeren daarbij als elkaars achtervang. Jouw aandachtsgebied omvat:

• Agendabeheer van het afdelingshoofd;
• Ondersteuning bij de organisatie van afstudeerzittingen, Bachelor Eind Projecten (BEP) en wetenschappelijke bijeenkomsten.

Daarnaast bestaan jouw overige taken uit:

• Je verzorgt samen met het team de administratieve, organisatorische en secretariële ondersteuning voor de wetenschappelijke afdeling. Bijvoorbeeld verslaglegging van diverse bijeenkomsten in het Nederlands en Engels.
• Je bent het eerste aanspreekpunt voor medewerkers en bezoekers, hierdoor kun je allerlei uiteenlopende vragen verwachten.
• Je beheert de gezamenlijke e-mail inbox.
• Je bent verantwoordelijk voor de administratieve begeleiding van afstudeerders. Dit omvat onder andere afstudeerders toetsen aan de afstudeercriteria, het organiseren van afstudeerzittingen. Dit gehele proces begeleid jij!
• Je straalt vertrouwen uit en gaat zorgvuldig om met gevoelige informatie. Je denkt proactief mee en stelt de juiste prioriteiten.

Deze rol biedt een uitstekende kans om je capaciteiten en vaardigheden te laten zien, en om waardevol te zijn voor het onderwijs en onderzoek binnen onze Faculteit Mechanical Engineering. Je krijgt steeds meer verantwoordelijkheden naarmate je groeit in de functie.

Functie-eisen
We zoeken iemand die energie krijgt van het werken in deze internationale en dynamische omgeving. Je bent een leergierige en enthousiaste Junior Management Assistent met een energieke en proactieve houding. Je bent sociaal, servicegericht en klaar om de volgende stap in jouw carrière te zetten.

Jouw profiel:

• Je hebt minimaal een vmbo-, havodiploma of mbo-2-opleiding afgerond.
• Je bent gemotiveerd om een mbo-opleiding te volgen en jezelf te ontwikkelen op de werkvloer.
• Je hebt affiniteit met organiseren en administratieve werkzaamheden.
• Je hebt affiniteit met het werken van digitale systemen, denk aan HR systemen en Microsoft 365.
• Je spreekt en schrijft Nederlands en Engels.

TU Delft
De Technische Universiteit Delft heeft een sterk fundament. Als bouwer van de wereldberoemde Nederlandse waterwerken en pionier in biotech is TU Delft een internationale topuniversiteit die wetenschap, engineering en design combineert. TU Delft staat voor onderwijs, onderzoek en innovatie van wereldklasse om uitdagingen op het gebied van energie, klimaat, mobiliteit, gezondheid en digitale maatschappij aan te gaan. Generaties Delftse ingenieurs hebben bewezen ondernemende probleemoplossers te zijn in bedrijfsleven en in sociale context.

Bij TU Delft omarmen we diversiteit als een van onze kernwaarden en zetten we ons actief in om een universiteit te zijn waar jij je thuis voelt en kunt floreren. We hechten veel waarde aan verschillende perspectieven en kwaliteiten, omdat wij geloven dat dit ons werk innovatiever, de TU Delft-gemeenschap levendiger en de wereld rechtvaardiger maakt. Samen bedenken en ontwikkelen we oplossingen die een positieve invloed hebben op wereldwijde schaal. Daarom nodigen we jou uit om te solliciteren. Je sollicitatie krijgt een eerlijke behandeling.

Faculteit Mechanical Engineering
Van chip tot schip. Van machine tot mens. Van idee naar oplossing. Vanuit de wil om de omgeving te begrijpen en te achterhalen welke mechanismen daaraan ten grondslag liggen, richten onderzoek en onderwijs zich op fundamenteel begrip, ontwerp, productie, toepassing en verbetering van producten, materialen, processen en (mechanische) systemen.

De faculteit ME is een dynamische en innovatieve faculteit met een internationale scope en high-tech lab-faciliteiten. Omdat we zo groot en veelzijdig zijn, kunnen we unieke dwarsverbanden leggen en vakgebieden combineren. Dit vindt zijn weerslag in uitstekend en modern onderwijs dat studenten opleidt tot maatschappelijk betrokken en verantwoordelijke ingenieurs en onderzoekers. De kennis en inzichten die we opdoen, vertalen we in oplossingen voor maatschappelijke vraagstukken, bijdragen aan een duurzame samenleving en aan de ontwikkeling van welvaart en welzijn. Dat is wat ons verbindt in grensverleggend onderzoek, inspirerend onderwijs en (inter)nationale samenwerking.

Klik hier om naar de website van faculteit Mechanical Engineering te gaan.

Postdoc in Hearing Aid Signal Processing

Job description

Good hearing is essential for active participation in society. Hearing impairments can lead to various challenges, from frustration and social isolation—such as difficulties understanding speech in noisy environments—to serious safety risks, like the inability to localize sound sources in traffic.

Hearing aids help mitigate hearing loss by enhancing speech intelligibility, improving sound localization, and increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance across diverse scenarios, we aim to develop innovative algorithms that dynamically balance the improvement of speech intelligibility, sound localization, and environmental awareness, dependent on the context.

To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception.

This is a full-time, three-year position within the audio and speech processing team of the Signal Processing Systems (SPS) Section. In the SPS section, we conduct research in array signal processing, graph signal processing, convex optimization, distributed processing, machine learning, and tensor analysis. Our applications span various domains, including audio and acoustics, wireless communication, radio astronomy, biomedical signal processing, and distributed sensing from space.

Your Role

• Conduct innovative research on signal processing for hearing aids.
• Contribute to writing research proposals.
• Assist with the supervision of students and teaching activities. 

Job requirements

• PhD in a relevant field (e.g., electrical engineering, acoustics, or a related discipline).
• Strong background in speech signal processing, machine learning, and optimization.
• Experienced with models of hearing and perception.
• Experienced with C/C++ and/or Matlab/Python
• Good communication skills for interaction with the other members of the team are expected.
• Good English language skills in order to closely cooperate with colleagues and students as well as to write scientific papers.

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 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 in Cryo-CMOS Circuit Design for Quantum Sensors

Job desrciption

Quantum computers promise to solve problems intractable by classical digital computers, while quantum sensors can offer unprecedented accuracy and sensitivity in detecting very small quantities. However, quantum devices typically operate at cryogenic temperatures, thus requiring long, bulky, and unreliable wires to connect to their room-temperature control electronics. This wiring bottleneck hinders the system's scalability and performance. As a PhD student in Electrical Engineering at TU Delft, you will overcome this bottleneck by building the cryogenic interface for future quantum systems.

In our group, we have pioneered the use of CMOS integrated circuits operating at cryogenic temperatures (cryo-CMOS). We adopt standard CMOS technologies to exploit their large-scale integration, as required in future large-scale quantum computers and cryogenic sensors, and their performance. CMOS devices are functional at temperatures as low as 4 K and below, but their behavior is very different than at room temperature, including an increased threshold voltage, a higher driving current, and a lower thermal noise. The challenges lie in exploiting the advantages of cryogenic operation, such as the lower thermal noise, while circumventing device non-idealities by inventing innovative circuit architectures and systems that can outperform the state-of-the-art. Although we have demonstrated several high-performance cryo-CMOS circuits and systems in the last decade, your challenge will be demonstrating new functionalities and pushing the boundary of circuit performance and knowledge.

In this project, you will develop the cryogenic interface for a very sensitive cryogenic magnetic sensor implemented using the SQUID (Superconducting Quantum Interference Devices) sensors developed by our partner QuantaMap. Those sensors are crucial components in a very advanced microscope able to accurately map the currents on the surface of next-generation quantum chips. In the current setup, the magnetic sensors are read out by room-temperature electronics, but the long wires from the cryogenic sensor to the room-temperature electronics are prone to the coupling of noise and interferers, thus degrading the excellent performance of the sensors. To circumvent this limitation, your research will target the invention and development of a fully integrated sensor readout operating at cryogenic temperatures as low as 1 K so that they can be operated very close to the quantum sensor. You will design the full read-out chain, comprising ultra-low-noise amplifiers exceeding state-of-the-art performance and analog-to-digital converters, all within a very strict power budget. Over the course of your PhD, you will design several prototypes of cryo-CMOS readout circuits, tape them out in advanced CMOS technologies, and characterize the resulting prototypes in our advanced cryogenic electrical characterization laboratory.

Your results will advance the state-of-the-art in cryo-CMOS circuit design and will result in presentations at top conferences for the advances of integrated circuits and publications in high-impact scientific journals. Your cryo-CMOS readout will be integrated into the magnetic-sensing system and the microscope developed by TU Delft and our industrial partners, thus achieving a real impact in the field of quantum technologies.

Job requirements

• A MSc degree in Electrical Engineering or a related field.
• Strong interest and strong background in analog circuit design; any practical experiences in circuit design, either in academia or industry, is a plus, but not a necessity.
• Good analytical, creativity and problem-solving skills.
• Excellent communication skills in English, both written and oral.
• Ability and eagerness to work in an international collaborative environment.

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.