RF Location Algorithm Researcher Metis Aerospace requires an algorithm researcher to aid in the development of new technologies for a range of RF location applications. This will include conducting research and development into algorithms for locating the source of RF transmissions. Salary Range: Location: Employment Basis: Job Reference: £28-£45K depending on experience. Lincoln. Full Time Accountabilities & Responsibilities Development, implementation and testing of algorithms, related techniques and underlying theory used in the detection of RF transmissions. Develop algorithms for analysing data from a variety of RF sensors, e.g. directional, non-directional, doppler and distributed sensor networks. Carry out rigorous performance testing of techniques. Provide technical expertise in areas of algorithm development, mathematics and statistics. Provide expert assistance in the development of software implementation. A high level of self-motivation with enthusiasm for the subject. Challenge technical assumptions and scrutinize results. A keen attention to detail. Desire for continuous learning, particularly for mathematical techniques and/or programming languages. Knowledge, Skills & Experience We require a candidate with knowledge and experience of applying algorithms to data. This can be for any application area e.g. defence, security, medical diagnostics/imaging, finance. We also require good computer programming skills, preferably with specific experience in algorithm development. The candidate must have good mathematical skills, including a broad knowledge of topics such as fourier techniques, digital signal processing, correlation, linear algebra, probability, statistical inference and calculus. The candidate should have the ability to design algorithms that are accurate, robust and fast to execute, with an understanding of the constraints of modelling in a near-real-time domain. C++ programming skills would be preferred, but knowledge of fortran, R, Matlab, Mathematica or similar mathematical programming languages would be acceptable. The ability to parallelize algorithms to utilize the multi-core nature of modern processors is also desirable. Good communication skills are important for this role. This includes the ability to communicate technical ideas to both specialists and non-specialists in both written and oral format. The candidate will also need good interpersonal skills and have the ability to work with scientists, mathematicians, programmers and engineers as part of a multi-disciplinary team. Qualifications The candidate must be able to demonstrate degree-level knowledge of a subject with significant mathematical content, e.g. mathematics, physics, statistics, computer science or equivalent.