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Vacancies

Positions available in the School of Physics and elsewhere will be advertised here, although this list is not meant to be definitive. For postgraduate opportunities within the School of Physics, please see the Opportunities section under Postgraduate.

The School welcomes applications for all positions advertised here from all qualified applicants, and applications are particularly encouraged from traditionally under-represented groups in Physics.

IBM Research-Trinity Pre-Doc Program: IBM Research-TCD Pre-doc Fellowship in Quantum Science

We are delighted to offer a PhD position in the area of quantum compilation and quantum simulation as part of a new initiative between IBM Research research and Trinity College Dublin. The PhD project will be jointly supervised by Prof. John Goold at the School of Physics at Trinity College Dublin and the research team at IBM Research Dublin lead by Martin Mevissen.
This selected student will have the following benefits:

  • Access to resources both at IBM Research and TCD
  • Research experience in both private and public sectors
  • Employment opportunities after graduation
  • A substantial PhD Salary (>30,000) euro

A more detailed description of the project is below
Title: Approximate quantum compilation and quantum simulation
Compilation of unitary matrices for use in current noisy and connectivity-limited quantum computers is an important enabler for testing and proving quantum advantage. The key problem is how to generate a circuit that can be implemented on current hardware, which can be run respecting fidelity and coherence requirements, that is the closest as possible to the unitary that we would like to implement and simulate. Under different notions of closeness, e.g., fidelity, the problem can be formulated as a combinatorial optimization problem over the type and placement of two qubit and one qubit gates, as well as a continuous optimization over the parameters of the one qubit gates.
As an important physical example, simulation of a physical Hamiltonian can be cast as a quantum compilation problem. This includes the quantum simulations of paradigmatic integrable and non- integrable quantum many-body systems such as spin chains. Currently, one would carefully design the Hamiltonian, then approximate it via a Trotter decomposition, then approximate the resulting two qubit gates via Cartan decompositions, and subsequently transpile it on the hardware, thereby introducing errors and increasing the circuit length. Instead, approximate quantum compilation can be used directly to the Hamiltonian to find the closest unitary that can be directly implemented, circumventing any ad- hoc procedures, and virtually being able to tackle any Hamiltonian in the same fashion.
The goals of the project are:
· To design mathematical optimization algorithms to tackle approximate quantum compilation problems specifically arising in quantum simulation. Here one could use current techniques as guiding principles to find useful heuristics to solve the combinatorial optimization problem.
· To explore quantum compilation in the context of quantum dynamics of integrable and nonintegrable many-body systems.
· To test the ideas on real hardware and showcase both the scalability of the mathematical algorithms and a path to quantum advantage for quantum simulation.
Required profile:
· Physics: knowledge of quantum simulation and current techniques to compile them in quantum hardware
· Familiarity with many-body physics and quantum information theory and advantage
· Math: knowledge of how to formulate and solve combinatorial and continuous optimization problems
· Software: a good command of Python is an asset
Relevant references
[1]
https://arxiv.org/abs/1807.00800
[2] https://dx.doi.org/10.1038/s41534-019-0217-0

How to apply
Please email a cover letter and CV (with names of two references) to Prof. John Goold (gooldj@tcd.ie) and Martin Mevissen (martmevi@ie.IBM.com)
Please note that a separate application will be required at IBM Research for shortlisted candidates.

Trinity-Microsoft Quantum PhD Scholarships at Trinity College Dublin

As part of the newly established research partnership between Microsoft Ireland, the SFI Centre for Advanced Materials and Bioengineering (AMBER) and the School of Physics at Trinity College Dublin we are delighted to offer two highly prestigious fully funded PhD scholarships (4 years) in the area of quantum simulation. The selected scholars will work on exciting cutting edge topics of mutual interest between Microsoft quantum research and the quantum research teams based at Trinity College Dublin. The topic is on the quantum simulation of quantum many-body dynamics and benchmarking algorithms for the design, optimisation and classification of novel phases of quantum matter and materials.

The selected Microsoft-TCD quantum scholars will use the recently developed Microsoft quantum computing ecosystem as part of their project https://azure.microsoft.com/en-us/solutions/quantum-computing/ and will be expected to interact regularly with the global Microsoft quantum research team.

We welcome applicants from diverse backgrounds and will consider both EU and non-EU applications. Female applicants are particularly encouraged to apply.

Informal inquiries should be directed at with Prof. John Goold (gooldj@tcd.ie) and Prof. Stefano Sanvito (sanvitos@tcd.ie)

CVs with cover letter along with names of two referees can be sent to John Goold (gooldj@tcd.ie) and Prof. Stefano Sanvito (sanvitos@tcd.ie)

Research Fellow in Electrochemical Reduction of Carbon Dioxide

Position is available in the research team of Prof. Stephen Dooley at the School of Physics, Trinity College Dublin, in collaboration with Prof. Kim McKelvey at the School of Chemistry, Trinity College Dublin. The project investigates the physical and chemical processes controlling the selective electrochemical catalysis of carbon dioxide to methanol by the creation of an advanced multiphysics simulation.

Background: Electricity-to-Fuels, in which electrical energy generated from renewable sources is used as energy source for the synthesis of fuels from carbon dioxide (CO2) and water, is a technology that could interrupt the anthropogenic carbon cycle and significantly reduce net greenhouse gas emissions as required by the 2016 Paris Climate Agreement. Electricity-to-Fuels technologies (also known as Power-to-X or Electro-fuels) are fast-evolving but face several fundamental science challenges in their operation and market viability. Particularly, the production costs of an Electricity-to-Fuels approaches are highly dependent on the capital costs of the electrolyser and the electricity price. The design of the electrolyser is thus critical.

Project: This project will provide an experimental and computational platform with which to test, model and optimise the performance of CO2 electrolysis cells. A sophisticated multi-physics simulation of a CO2 electrolysis cell will be developed, incorporating electrochemical reaction kinetics, fluid mechanics, and transport of chemical species.

Role: A postdoctoral researcher is sought to join the research team comprising two Principal Investigators and two dedicated post-graduate students. Essential Requirements: The successful application will have:

  • A PhD in Chemistry, Physics, Chemical Engineering or related field.
  • Knowledge of electrolysis, electrocatalysis or other catalysis.
  • Experience in the design and operation of electrolysis cells.
  • Skills and experience of impedance spectroscopy and other electrochemical current-voltage characterisation techniques.
  • Excellent communication skills.
How to Apply

For more details and how to apply see Full Job Specification