Research fellowship opportunities in collaboration with industry TRAIN@Ed research fellowship for candidates with a background in experimental particle physics and machine learning.
The TRAIN@Ed research fellowship programme, an ambitious scheme with the intention of bringing international researchers to the UK, is now open to applications. This is part of a €7.1 million Horizon 2020 Marie Sk?odowska-Curie actions COFUND grant awarded to the University of Edinburgh.
The School of Physics and Astronomy, in collaboration with industrial partner Tindeco Financial Services, is looking for applicants with a background in experimental particle physics and machine learning, and a strong interest in financial applications (in particular: portfolio construction, risk management and systematic investment management). Candidates must submit a proposal outlining their vision on the collaborative research to be conducted during the three-year fellowship.
Eligible candidates will have finished their PhD ideally around two years previous to and no more than ten years beyond their application. They will not have lived and worked in the UK for more than 12 months in the 3 years immediately prior to the submission deadline.
Full details of the scheme and opportunities are found on the TRAIN@Ed site.
Interested candidates should get in touch with Christos Leonidopoulos.
The deadline for expression of interest is 15 October 2018.
Related links Full information on the TRAIN@Ed scheme and opportunities: https://www.ed.ac.uk/human-resources/jobs/train-ed
About The University of Edinburgh
Tindeco Financial Services AG is doing cutting edge research to extend the capabilities of our award-winning Tindeco VISION investment management platform. We have proprietary approaches to financial asset modeling, risk management, financial simulation, portfolio optimisation/construction under complex constraints and other areas within the field of investment management. We have a team of 10+ with backgrounds in mathematics, artificial intelligence, software development and cloud computing. We are now partnering with the particle physics department of a top academic institution. As the industry partner of this university we are looking for candidates who will split their time between the university and working with our Edinburgh team. The focus will be on applying machine learning methodologies developed in the field of particle physics to solve complex problems in the field of finance.
The American Association of Physics Teachers (AAPT) is a partner in the AIP Career Network, a collection of online job sites for scientists, engineers, and computing
professionals. Other partners include Physics Today, the American Association of Physicists in Medicine (AAPM), American Physical Society (APS Physics), AVS Science and Technology,
IEEE Computer Society, and the Society of Physics Students (SPS) and Sigma Pi Sigma.