Researcher in Machine Learning for Hyperspectral Imaging
APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked.
CONTEXT
The Royal Military Academy (RMA) is a military institution and is fully recognized as a university, fulfilling the same criteria as civilian universities. The RMA is also conducting scientific research at university level for projects funded by the Belgian Defense department or external sources.
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.
We value diversity and equal opportunities. We firmly believe that diversity enriches our community, and we encourage all qualified candidates to apply.
PROJECT:
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 spectroradiometric 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
MAIN TASKS:
* 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.
SKILLS AND EXPERIENCE:
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).
The possibility to start a PhD related to the project will be offered.
“MUST HAVE” skills:
* Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning.
* Experience with electro-optical data processing.
* Sensor/atmospheric modelling experience
* Hyperspectral and spectroscopy knowledge
* Experience with OpenCV, PyTorch or Tensorflow
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.
Application
Please send by email:
* (in the body of your email) a summary containing
* Your affinity with the research topic
* 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
* (in attachment) a scan of both sides of your ID card
to Dr Skralan HOSTEAUX (skralan.hosteaux@mil.be), Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), and to erm-deao-rswo@mil.be
Please use the subject line “TWS – application [SURNAME FirstName]” when sending your email.
The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. If needed, on-line interviews can be organized. The date and time of the interview will be communicated to the preselected candidates.
Contract
* Probable date of recruitment: October 2025, 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 is guaranteed until January 31st, 2028. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the Patrimony has a policy to keep the good elements on board and the research focus of this job offer fits within our core research activities, so there is a high chance that we will be able to offer you follow-up projects beyond that date.
* 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.
* 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);
* 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).
Workplace
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Research and Analyst
* Industries
Higher Education and Defense and Space Manufacturing
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