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.