Nommon's Aviation business unit provides data analytics services, predictive modelling and decision support tools for the planning and management of airports, airlines and air traffic management systems. Over the last ten years, Nommon has been a key player in the SESAR programme as well as in other European R&D programmes in the field of aviation, exploring the application of big data and artificial intelligence to a variety of air transport and air traffic management problems.
One of our research areas focuses on U-space and Innovative Air Mobility (IAM): through R&D projects such as MUSE , MAIA and PRIAM , we are exploring how new mobility services enabled by unmanned aerial vehicles can be integrated into multimodal transport networks so as to enhance connectivity and passenger satisfaction, optimise air transport capacity, and minimise environmental impact. In this context, we are looking for an R&D Data Scientist (0-5 years of experience) willing to join our Aviation department in Madrid and contribute to our U-space and IAM research activities.
The candidate will work alongside a multidisciplinary team in a variety of R&D projects in the field of aviation. Responsibilities include:
Investigate the future role of unmanned aerial vehicles in urban and regional mobility.
Develop methodologies and tools for the safe and efficient operation of drones in urban environments.
Evaluate new operational concepts through traffic simulations.
Develop innovative data products and decision support solutions for the IAM market.
Produce research papers and present Nommon's research work at scientific conferences and internal seminars.
Qualifications and skills Required: MSc/PhD in a relevant scientific field (Engineering, Mathematics, Physics, etc.), preferably with background in Air Transport or Aerospace Engineering;
Outstanding academic record.
Strong mathematical and statistical background.
Strong algorithmic, programming and computational problem solving skills.
Excellent English and Spanish oral and written communication skills.
Nice to have, but not indispensable: Experience/knowledge in air traffic management and flight operations.
Experience/knowledge in UTM and U-Space.
Experience/knowledge in statistical analysis and machine learning.
Experience/knowledge in development and/or use of computational simulation tools.
Experience in multidisciplinary, collaborative research projects.
Salary and benefits Flexible working hours and possibility to work remotely up to two days per week.
Nice, well-located office in the centre of Madrid.
We always reach out to all applicants, so wait for our call or e-mail once your application is submitted.
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