The University of Massachusetts, Amherst, seeks talented candidates interested in pursuing a PhD in Quantum Information Sciences. Positions are available in the following groups:

Towsley Group: Prof. Don Towsley works on the design, analysis, optimization, and control of quantum networks and distributed quantum computing systems. Specific topics include resource allocation and scheduling, generation of multipartite entanglement, quantum network tomography, distributed quantum storage architectures, quantum data centers, and quantum on-line learning. See https://acquire.cs.umass.edu/ResearchPub.html for more details.

Krastanov Group: We work on the design, control, and optimization of quantum hardware for computation and networking, from its analog physical description up to the compilation of error-corrected logical circuitry running on it. Our research centers around leaky abstraction boundaries between the many layers of technologies making up the field of quantum computing and quantum information science. See https://lab.krastanov.org/ for more details.

Rozpedek Group: Filip Rozpedek works on developing novel ways of transferring quantum information over long distances and generating long distance entanglement. His work investigates new strategies of utilizing quantum error correction in quantum repeater architectures. In particular he is interested in designing hybrid repeater schemes that combine resource-expensive error correction with more near-term techniques of remote entanglement generation, which have already been demonstrated in recent proof-of-principle experiments.

Vardoyan Group: Gayane Vardoyan’s research has focused on the modelling, performance analysis, and optimization of distributed quantum systems. Her group aims to develop algorithms that will be robust and reliable in their ability to supply resources, such as entangled states, to applications that need them. These algorithms are often inspired both by analytical models of quantum network architectures, as well as techniques found in the classical networking, machine learning, and reinforcement learning literatures.

Interested applicants are asked to apply for the fall or spring graduate admission season through the CICS online application portal: https://www.cics.umass.edu/admissions/application-instructions.

About The Manning College of Information and Computer Sciences
The Manning College of Information and Computer Sciences (CICS) offers a world-class curriculum in support of BA, BS, MS, and PhD degrees. CICS is internationally recognized for its research activities and has one of the highest ranked and most competitive graduate programs in the nation. The College is distinguished by its culture of collaboration and leadership in multi-disciplinary research. Read more about our vision and mission here: https://www.cics.umass.edu/vision-mission-values.

At CICS, we recognise the immense value of collaboration. In lieu of a traditional candidacy exam, we embrace a unique approach – the completion of a Synthesis Project that bridges two or more research disciplines. The quantum groups at CICS work closely with experimentalists in superconducting, trapped ion, and photonic qubit research all located in close proximity to the college. This offers students an exceptional opportunity to ensure their research remains firmly anchored in practical challenges and applications, thereby increasing the potential for impact.

About University of Massachusetts Amherst
UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts, and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.

UMass - Amherst is a core partner of the NSF Engineering Research Center for Quantum Networks; see https://cqn-erc.org for details.

Come join us in our pursuit of Quantum Computing and Networking for the Common Good!