Inverse Methods and Ionospheric Modelling Research Fellow

About the role

Salary: Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Contract Type: Fixed Term Contract up to 3 years Summary To support the Ionospheric Climate - Global Reference Ionosphere (I-C-GloRI) European Research Council project, the Space Environment and Radio Engineering (SERENE) group at the University of Birmingham is looking to welcome an outstanding candidate to work in the field of ionospheric empirical modelling, D-Region ionospheric remote sensing, inverse methods, or ionospheric radio propagation. Background SERENE is a leading research group in space environment and space weather research. With a multidisciplinary, collaborative and inclusive approach, the group focuses on a wide array of topics such as upper atmosphere modelling - covering empirical, physics-based, and data assimilation techniques - radio propagation, satellite orbit determination, and HF engineering. This 3-year post will provide the candidate with the opportunity to fully engage with the research group, with work spanning ionospheric data assimilation modelling, D-region remote sensing, atmosphere-ionosphere coupling, HF radio propagation model development as well as first principles modelling of the coupled ionosphere-thermosphere system. You will join a group at the forefront of innovation in its field. SERENE's upper atmosphere models are utilized by over 100 institutions in more than 25 countries around the globe. These models serve a dual purpose: advancing the state of the art in upper atmospheric science research and providing operational support for space weather products and services. Internationally and nationally. Role Summary Contribute to the SERENE research group by supporting its research goals. Collaborate on research developing and implementing ionospheric models or measurement techniques. Analyze and interpret research findings and results. Prepare reports and scientific journal papers. Share your work and represent SERENE at international conferences. Provide subject area support as an ionospheric modelling, measurement technique, or ML/inverse methods expert within SERENE. Assist in the training and support of other early-career members of SERENE. Person Specification First degree in physics, mathematics, or similar, with a higher degree (or near to completion) relevant to empirical modelling (any discipline), machine learning (any discipline), inverse methods (any discipline), ionospheric modelling and/or ionospheric measurement techniques, radio propagation, or equivalent qualifications. Experience using nonlinear fitting techniques or inversion methods is desirable. Experience studying the ionosphere or related systems is desirable. Strong analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Understanding of and ability to contribute to broader management/administration processes. Collaborate on the planning and organizing of research programmes. Coordinate work with others to ensure synergy and avoid duplication of effort. Knowledge of the protected characteristics of the Equality Act 2010, and a commitment to ensuring those with protected characteristics are treated equally and fairly in day-to-day activities. Informal enquires can be made to David Themens ( d.r.themens@bham.ac.uk ) To download the full job description and details of this position and submit an electronic application online please click on the ' Apply ' button above. Valuing excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working

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