07 Postdoctoral Fellowship at University of Sussex, East Sussex, United Kingdom

Applications are invited for the position of a Research Fellow in Trapped Ion Quantum Computing in the Ion Quantum Technology Group in the Sussex Centre for Quantum Technologies at the University of Sussex. The position is part of the UK National Quantum Technologies programme and is concerned with the development of utility scale quantum computers capable of solving disruptive societal and industry challenges. Trapped ions are one of the most mature implementations to deliver practical quantum technologies. We have developed a unique approach for trapped-ion quantum computing that enables scaling to a large number of qubits. The approach couples scalable global microwave based quantum gate technology with fully integrated quantum computing microchip modules that can be linked together using fast electric field links. This position is part of a larger effort to develop and operate quantum computing solutions which scale to significantly larger system sizes. We currently operate 5 quantum computer prototypes in our lab and the position will focus on one or multiple of these experimental setups directed towards the implementation of quantum error correction, ion transport and quantum gate execution, raising gate fidelities, operation of multi-module quantum computing prototypes and the development of quantum computing microchips. Some of the typical tasks for this position include operation of ion trap experiments, high power microwave setups, laser systems, optical setups and ultra-high vacuum setups as well as carrying out quantum information science experiments, quantum error correction, perform simulations of quantum systems, quantum control and other relevant theory and supervise undergraduate and postgraduate students. The successful applicant should have an experimental PhD in a field related to our research area such as atomic physics, optical physics or quantum physics along with a good publication record. The salary offered will be appropriate to the qualifications, standing and experience of the successful candidate.

We are delighted to offer a full-time research fellowship with the Ion Trap Cavity-QED and Molecular Physics (ITCM) group at the University of Sussex, led by Professor Matthias Keller. Join our team and you will be part of an EPSRC UK-funded consortium working on a novel atomic clock and its applications. The specific research project aims to develop a novel atomic clock scheme for portable systems based on the developments at the University of Sussex. Our consortium brings together leading teams from the University of Sussex, the University of Loughborough, the National Physical Laboratory and companies from the quantum technology, telecommunication and defense sectors. Our objective is to build a miniaturized portable atomic clock based on a novel interrogation scheme on a single calcium ion, with an accuracy at the 10^-14 level or better. At ITCM, we have developed a novel interrogation scheme for ion-based atomic clocks that promises significantly improved robustness compared to conventional optical atomic clocks. The project aims to demonstrate the novel scheme in an existing system, implement the system on an existing portable system and demonstrate its advantages in real-world settings. You will join the Portable Atomic Clock team in the ITCM group and demonstrate the novel scheme and its use in portable atomic clock systems.

Applications are invited for the post of Research Fellow in Cancer Research (non-clinical) at Brighton and Sussex Medical School (BSMS). We are looking to recruit a scientist with a strong background in cancer research, or a related discipline to work on a recently awarded Blood Cancer UK project grant. The appointee will join our internationally recognised haemato-oncology research team. The Haemato-oncology group is a successful collaborative partnership between clinicians and scientists based in the Medical Research Building at BSMS. The laboratory-based ‘Pepper Team’ (https://pepper.science) and computational systems biology ‘Mitchell Team’ (https://mitchell.science) currently represent the two largest groupings. Our main areas of expertise are in modelling the tumour microenvironment, understanding the role of NF-kB in disease progression and the development of drug resistance and the pre-clinical evaluation of novel targeted agents. The successful candidate will benefit from our strong network of national and international collaborators and our established links with academic medicinal chemists and pharmaceutical companies. The selected candidate will be part of the vibrant Haematology Research Group, spanning BSMS and the University of Sussex (https://www.bsms.ac.uk/research/clinical-and-experimental-medicine/cancer/hrg/haematology-research-group.aspx). We are seeking a motivated and enthusiastic candidate with a PhD in a relevant area, who can demonstrate technical expertise in a range of laboratory techniques, ideally including tissue culture and flow cytometry. Computational skills are also desirable but the opportunity for training in computational biology will be available.

The successful applicant should have a PhD in machine learning along with a good publication record in leading machine learning conferences (e.g. NeurIPS, ICML, ICLR). The salary offered will be appropriate to the qualifications, standing and experience of the successful candidate. Informal enquiries are welcome and can be made to Professor Novi Quadrianto ([email protected]). The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.  The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.

The 6G Lab  (https:// 6g-lab.org) at the University of Sussex invited applications for a Postdoctoral Research Associate (PDRA) (Maternity Cover)  in Software Engineering/Power Engineering with a particular emphasis on the development of  models/algorithms   and subsequent simulators and software  demonstrator systems in the Telecommunications and Power network convergence space, with a focus on communication networks for vehicle-to-grid (V2G) and  smart and connected EV charging infrastructure. This full-time post is part of a 24-month prestigious Network Plus grant,“A green, connected and prosperous Britain” comprising  4  academic partners (University of Sussex, LSBU, Imperial College London, University of Essex), industry and end users’ groups to investigate with a focus on the integration and applications of telecommunication networks to support green, resilient and flexible power networks of  the future. The successful applicant will work as part of a team of different skill sets (Energy Networks, Communication Networks and end user acceptance of technology) .

Following the award of an EPSRC standard grant to Prof. Richard Layfield, a Postdoctoral Research Fellow position is available for an outstanding chemist to undertake research in the field of lanthanide and actinide organometallic chemistry. The project will entail the design, synthesis and measurement of new f-element organometallic complexes in low oxidation states. Two positions are available, both of which last for up to 36 months and are available from 1st October 2023. The ideal candidate will have, or should be close to completing, a PhD or equivalent in synthetic organometallic/coordination chemistry. Expertise in the synthesis and structural characterization of air-sensitive compounds (including glove-box techniques) are essential. The successful applicant will have experience in experimental aspects of small-molecule structure determination by X-ray crystallography, from crystal growth to preparation of data for publication. Experience of solution-phase NMR spectroscopy is advantageous, and you should ideally have experience of ligand synthesis. The successful applicant will also demonstrate a willingness to learn about magnetic property measurements and associated data analysis techniques. You should be capable of working under your own initiative and leading a small research team consisting of PhD and undergraduate research students. Excellent communication and organizational skills are therefore required.