PhD position in Quantum Machine Learning research as part of the Quantum Information Group

Quantum Information Group

Deadline for receipt of applications: June 14th, 2023 23:59 AoE (15 June 2023, 13:59h Europe/Madrid Time)

The success of classical Machine Learning / Deep Learning algorithms in the past decade has helped establish the field as one of the pillars of many modern research and industrial areas. With the increased availability of Quantum Computers came the desire to expand Machine Learning into the quantum domain, allowing models to be trained on quantum as well as classical data. This PhD is focused on developing efficient and scalable Quantum Machine Learning algorithms, with an emphasis on graph-based learning. Applications range from predictions on similarity graphs between quantum states, analysis and optimization of quantum circuits to learning on graph states and more general network analysis.

Requirements (as many as possible):

  •  Degree in Physics (with knowledge of Information Theory) or in Computer Science / Mathematics (with knowledge of Quantum Physics).
  •  A clear understanding of the basics of quantum computation and communication (qubit modalities, functional components of a quantum network, etc.) is a must.
  •  Strong background in classical machine learning algorithms and libraries (PyTorch, Tensorflow, Python Data Science Stack) is a must.
  •  Knowledge of a graph analysis and visualization library is a strong plus (such as NetworkX or similar)
  •  Previous experience with Qiskit or any other quantum programming language is a strong plus.
  •  Proficiency in written and spoken English is essential.
  •  A desire to work on topics at the edge of modern research as well as publishing in top conferences and journals is mandatory.

About IMDEA Networks

IMDEA Networks Institute is a research organization on data networks whose multinational team is engaged in cutting-edge fundamental science and technology. As an English-speaking institute located in Madrid, Spain, IMDEA Networks offers a unique opportunity for pioneering scientists to develop their research vision. IMDEA Networks has established itself internationally at the forefront in the development of future network principles and technologies. Our team of highly-reputed researchers is designing and creating today the networks of tomorrow.

Some keywords that define us: 5G, Big Data, blockchain and distributed ledgers, cloud computing, content-delivery networks, data analytics, energy-efficient networks, fog and edge computing, indoor positioning, Industry 4.0, Internet of Things (IoT), machine learning, millimeter-wave communication, mobile computing, network economics, network measurements, network security, networked systems, network protocols and algorithms, network virtualization (software defined networks – SDN and network function virtualization – NFV), privacy, social networks, underwater networks, vehicular networks, wireless networks and more…

Equal Employment Opportunity

IMDEA Networks Institute aims to increase the proportion of women and therefore qualified female applicants are explicitly encouraged to apply. Until a balanced ratio of men and women has been achieved at the institute, preference will be given to women if applicants have equal qualifications. IMDEA Networks Institute actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (anti-discrimination). People with disabilities who have the relevant qualifications are expressly invited to apply.

  1. Remember to select the following option: PhD: PhD Student positions [2023]
  2. Deadline for receipt of applications: June 14th, 2023 23:59 AoE (15 June 2023, 13:59h Europe/Madrid Time)
  3. If necessary choose as supervisor Marius PARASCHIV