Data Scientist/Machine Learning Engineer (M/V/X) (TaMaCare)
Offer DescriptionIn the framework of a research project between the Royal Military Academy, national industry, Belgian academia and the armed forces, we are looking for a research scientist with a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics and a background in Machine Learning.About the project
On the battlefield, injured soldiers can face significant delays in medical treatment or evacuation due to ongoing hostilities and treacherous terrain. Traditional methods of casualty care rely on limited information and may put medics at unnecessary risk: medics often lack a comprehensive picture of the battlefield, hindering their ability to locate and prioritise casualties while minimising exposure to threats. The TaMaCare project emerges from this critical observation, aiming to revolutionise battlefield casualty care by creating a real-time digital twin of the frontline. More precisely, we aim to improve response times and decision-making in critical situations. The proposed digital twin aims to provide medics with a clear view of the battlefield, encompassing the location of injured soldiers, their vital signs, and any structures or potential dangers present in the vicinity.About the Royal Military Academy
RMA ( ) is a fully accredited university responsible for the training and advanced continuing education of officers in the Belgian Defence department. Our institution excels in high-level scientific research funded by both the Belgian Defence department and external sources. We offer a blend of academic, military, and physical training, providing a unique environment for innovative research and practical application.Expected results
The impact of TaMaCare on battlefield casualty care is multifaceted and far-reaching:
The benefits of TaMaCare extend beyond immediate casualty care and contribute to a broader strengthening of defence capabilities. In fact, the project fosters advancements in 3D mapping, threat detection/assessment through image processing, and Ultra-Wide Band (UWB) localization networks. These advancements have broader applications for military and civilian operations and for intelligence gathering: planning for offensive/defensive operations, re-assessment of the geometrical environment after man-made or natural calamities, improved navigation of unmanned vehicles, removal of UXO/IED (Unexploded Ordnance/Improvised Explosive Devices), etc.Your role
The research in TaMaCare will be performed by a Belgian consortium. The role of the researcher hired for this job offer will focus on the development of AI models and ML techniques to facilitate, automate and simplify detection of threats on the battlefield using electromagnetic (panchromatic, multispectral or hyperspectral) sensors in the visible and infrared spectrum based on their spatial or spatio-spectral signature. This knowledge will also be applied to other projects within RMA with similar needs.Where to apply E-mailerm-deao-rswo@mil.beRequirementsResearch Field Other Education Level Master Degree or equivalentSkills/QualificationsTechnical skills
The applicant shall have a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics.
Personal skills
Other skills
Specific RequirementsSpecific requirements
Languages ENGLISH Level ExcellentLanguages FRENCH Level BasicLanguages DUTCH Level BasicResearch Field Other Years of Research Experience 1 – 4Internal Application form(s) needed20240718_TaMaCare_Jobdescription_ENG.pdfEnglish(257.26 KB – PDF)Additional InformationBenefitsContract
Extra-legal benefits
Selection processApplication
You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from:
(Dutch) or
(French).
There is unfortunately no English version of this document.
Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN ( ), ir Charles HAMESSE ( ) and Dr ir Helena BRUYNINCKX ( ):
Please mention clearly the reference of the project in the subject line of your mail: “TaMaCare”.
(Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.)
Application deadline: 16th of August 2024
The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates.Additional commentsWorkplace
Points of contact
) * Concerning the recruitment modalities: Dr ir Helena Bruyninckx (
) * For more information about the Royal Military Academy, see
Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Royal Military Academy – Patrimony Country Belgium State/Province Brussels City Brussels Postal Code 1000 Street Hobbemastraat 8 GeofieldContact State/ProvinceBrussels CityBrussels WebsiteStreetHobbemastraat 8 Postal Code1000 E-MailERM-DEAO-RSWO@mil.be Phone+3224413750STATUS: EXPIREDShare this page
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Sat, 20 Jul 2024 02:07:27 GMT
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