Vacancy ref: 052550
We are looking for an enthusiastic and strongly motivated researcher to join our international and multidisciplinary team. You will develop a new generation of nonlinear analysis algorithms for data sampled on networks, and validate our developments in various real-world applications including the study of multiphase flow – a complex system highly significant to numerous industries. In this way, you will help to bridge the gap between nonlinear analysis and graph signal processing.
The successful candidate will work in a project funded by the Leverhulme Trust and led by Dr Javier Escudero where we seek to expand nonlinear analysis methods to data sampled on networks, and create appropriate benchmarks and models to assess nonlinearity in the data. You will also contribute to releasing the developed algorithms as software toolboxes.
You will have the opportunity to develop your skills in nonlinear and graph signal analysis and to contribute to the supervision of PhD students in related areas. The project also features a collaboration with world-leading experts in multiphase flow measurement at Tianjin University (China). You will be part of the Institute for Digital Communications, a powerhouse in the development of theory and algorithms for the next generation of signal processing, communications, and machine learning systems.
You must have (or be about to achieve) a PhD in electrical engineering, computer science, mathematics, or a cognate discipline. You must have: a record of international research publications in signal processing, nonlinear analysis or related fields; and good communication skills. You should also be able to work within a team. Previous experience in graph theory or a strong mathematical background would be advantageous. Evidence of good programming skills will be a plus. Knowledge of multiphase flow systems would be beneficial but it is not required.
This position is full-time and fixed-term for 36 months.
Salary £33,797 to £40,322 per annum
Closing date is 10 August 2020 at 5pm GMT.
Applications should be made via
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=052550
