Disruptive Computing Engines will enable revolutionary developments in science and society that require far greater and more efficient computing power than currently available. For instance, while future quantum computers promise to solve problems that are intractable for even today's most powerful supercomputers, small and intermediate-scale quantum processors can already run small quantum algorithms. As another example, neuromorphic computing will be orders of magnitude more energy-efficient, as necessary for applications such as edge AI and personalised medicine.

The mission of TU Delft’s Quantum and Computer Engineering (QCE) department is to invent, design, prototype and demonstrate the potential of disruptive computing engines by harnessing unique features of emerging devices, e.g., qubits, memristors, spintronics, and graphene. Building such computing engines requires a full-stack interdisciplinary approach, encompassing fabrication and operation of qubits, electronic circuit design, micro-architecture, programming models, compilers and simulator platforms.

QCE's research encompasses a broad range of applications, integrating multiple layers of the stack:

• The computing and network architecture, including AI-oriented architectures, quantum architectures, neuromorphic architectures, computation-in-memory architectures, big-data architectures and secure architectures.
• The interface to the technology, including cryo-CMOS circuit design, memristive-based and graphene-based circuit design, and test and reliability of integrated circuits.
• Related programming and support flow such as compilers, mapping tools and simulators.

To make quantum computing a reality, QCE is collaborating with QuTech, the worldwide leading research centre on Quantum Technology, Computing and Internet founded by TU Delft and the Netherlands Organisation for Applied Scientific Research (TNO). Together, they are working intensively on developing, designing and prototyping scalable quantum computing engines based on different quantum technologies. Such technologies include superconducting qubits, spin-based qubits, Nitrogen-Vacancy (NV) centres in diamond and topological qubits.

QCE is inviting applications for an assistant professor in large-scale photonic circuits for quantum information processing and quantum computing. In this position, you will focus on the development of large-scale photonic circuits for color centres in diamonds as essential parts of quantum computing engines. The research is envisaged to include topics such as:

• Single-photon detector array
• On-chip cryogenic optical switches
• Design, fabrication and characterisation of photonic circuits for quantum information processing
• Large-scale photonic circuits for machine learning

You will also collaborate on circuits, architectures and compilers for other emerging computing platforms and actively participate in multidisciplinary collaboration with colleagues within QCE as well as within QuTech, QuTech's Quantum Internet division and the QuTech-Fujitsu partnership.

In this role, you will contribute to developing and teaching nanoelectronics and photonics courses and educational programmes at BSc and MSc level.

• A PhD in electrical engineering, applied physics, physics, or a closely related discipline, with outstanding academic credentials;
• A background and experience in photonics, nanofabrication, photon detectors and knowledge in quantum computing is preferable;
• The ambition to be a future scientific leader in the area of quantum photonics/computing;
• An affinity with teaching, preferably with teaching experience at bachelor and/or master level and experience in supervising MSc and/or PhD students;
• Excellent written and verbal communication skills in English;
• Experience in leading and managing research programmes is a plus;
• An appreciation for a culturally diverse environment and the ability to build relationships and work in a team.

Fixed-term contract: 6 years.

A tenure-track position is offered for six years. In the fifth year we’ll decide if you will be offered a permanent faculty position, based on performance indicators agreed upon at the start of the appointment. We expect that you have the potential to grow towards an Associate Professor and/or Full Professor role in the future.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.
TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language within three years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creatorsof 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 and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

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