Researcher in Machine Learning for Hyperspectral Imaging (TWS)

You will work within the 4D Perception Lab (https://4dpl.rma.ac.be/) of the department of Mathematics within the Faculty of Polytechnics of the RMA and in close collaboration with military and industrial partners. You will conduct scientific research at university level on a project entitled `TWS'. In this project we will:

• Investigate performance of combined MWIR and LWIR hyperspectral and Spectro radiometric sensors to detect and categorize spectral signatures of hot exhaust gasses (e.g. jet engine exhaust plumes, ballistic missile exhaust plumes, decoy flares, ...)
• Compare/Develop traditional vs. AI driven sensor processing algorithms for high accuracy detection/identification of relevant targets
• Build a spectral imaging signature library structure and populate it with sources of exhaust energy
• Define the MWIR/LWIR imaging spectroscopy LRU (SWaP-C) that can be ported to an airborne platform.

In the framework of the study TWS (Threat Warning System), we are looking for a full-time researcher with a Master degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics., Degree(s) required: Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics.

This position is open for junior profiles (ideally 0-3 years of experience). Motivated candidates who meet most of the qualifications are encouraged to apply.

Core Qualifications:

1. Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning.
2. Strong mathematics/physics understanding.
3. Experience with electro-optical data processing.

Additional Strengths:

1. Sensor/atmospheric modelling experience
2. Hyperspectral and spectroscopy knowledge
3. Experience with OpenCV, PyTorch or Tensorflow
4. Experience organizing measurement campaigns and/or working with remote sensing systems, either in the lab or in the field.

Personal skills:

• You conduct scientific research in an independent and upright way within a multidisciplinary environment and communicate your results in a clear, concise and precise manner.
• You take initiative, solve problems autonomously and find alternatives or solutions.
• You are flexible for change and adapt yourself.
• You commit yourself in your job by giving the best of your aptitudes in striving toward the highest quality standards and persevere when needed.
• You will be working very closely together with the industrial partner and will get insight in their proprietary intellectual property. Confidentiality is therefore an absolute must.

Other skills:

• The applicant shall have good knowledge of English (oral / written).
• Minimum knowledge of French or Dutch is an added value for collaboration with peers.
• A driver's licence (but not necessarily a car) is highly recommended.

Specific Requirements

• The researcher may be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by Belgian Defense.
• Only applicants with a nationality of a country that is both part of NATO and the EU will be eligible.
• Working for the Patrimony requires living in Belgium for the duration of the study., + Your academic degree and years of relevant experience

• How your profile matches the list of ¿must have¿ and ¿nice to have¿ skills listed above, keeping the same structure/numbering as in this job offer

• (in attachment) a CV

• Development of a generic threat warning sensor system based on MWIR and LWIR hyperspectral imaging and advanced AI/ML processing techniques

• Organisation of measurement campaigns, partly on military grounds, using state of the art (hyper)spectral sensors

• Writing of scientific publications

• Exploring opportunities to leverage the results of this project., * Probable date of recruitment: ASAP, in consultation with the applicant.

• Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant). If needed:

• Please note that your contract will be open-ended, but the financing of the contract will be tied to the funding project, which, for this project is guaranteed until January 31st, 2028. After that, you can be transferred to another project that matches your skills and interests, or apply to a PhD track. (Starting a PhD on this project is not possible due to time constraints.)

• Wage scale: class A1 (holder of a Master's degree in Science or equivalent), class A2 (holder of an Ir degree or equivalent Master's in Engineering Sciences, doctor's degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations.

• Holiday pay.

Extra legal benefits

• Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test;
• End-of-year bonus;
• Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member);
• Bike allowance / Free public transport (home-work commute);
• Meal vouchers (6€ / day);
• Digital allowance (15€ / month)
• Free access to campus sports facilities outside working hours;
• On-campus restaurant and cafeteria with democratic prices (discount on the daily menu);
• Flexible working hours within the 38-hour week;
• Teleworking possible with allowance (2 days / week max);
• Holidays:
• 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years)
• 1 week OFF every year between Christmas and New year's Eve (independent of the annual balance of holidays).
• Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...);
• Entitlement to services offered by the `Office Central d'Action Sociale et Culturelle de la Défense' (OCASC): among others holiday centres, discount on travel organised by the tour operator...;
• Possibility to benefit from the nursery funded by Belgian Defence (subject to availability).

The Royal Military Academy (RMA) is a military institution and is fully recognized as a university, conducting scientific research for projects funded by the Belgian Defense department or external sources., Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels. Occasional travels abroad for scientific conferences, measurement campaigns, etc. Envie d'en apprendre davantage sur ce métier ou sur un métier proche de celui-ci ? Parcourez toutes les informations utiles sur Panorama des métiers. Panorama des métiers Cette offre a été rédigée par l'employeur, Actiris n'est donc pas responsable de son contenu et des éventuelles infractions à la législation en vigueur. Attention, un employeur ne peut pas vous demander de lui communiquer des données sensibles. En savoir plus.