Overview
**Description de l’entreprise
• *Job description and associated tasks**
In the framework of the study ¿Machine Learning Applications for Predictive Maintenance of Weapon Systems¿, we are looking for a **_full-time researcher with a Master in Engineering/Applied Science/Computer Science/Artificial Intelligence/Mathematics/Physics or equivalent _**.
Context:
You work within the research group SMAC (Simulation, Modeling and Analysis of Complex Systems) in the department of Mathematics. You conduct scientific research at university level on a project entitled ¿Machine Learning Applications for Predictive Maintenance of Weapon Systems¿.
• *Description de la fonction
• *Study**:
State-of-the-art weapon systems are equipped with a vast array of sensors that collect data about the weapon system in real time. Some companies, such as e.g. Airbus, offer predictive maintenance ¿as a service¿ to their customers, based on the data gathered by these sensors. However, the actual algorithms involved… are proprietary. The Belgian Defence has purchased various modern weapon systems which will be equipped with these kinds of systems, and which will be able to register enormous quantities of data.
A number of weapon systems that are currently in use already possess a similar (but possibly more limited) array of sensors. Currently this data is not being exploited. One of the objectives of this project is to identify, collect and analyse the existing data in order to build up this crucial expertise in advance of the arrival of the new weapon systems. These will be used as test cases to identify the most appropriate and efficient machine learning techniques.
Finally, we will design and develop a toolbox of methods for the real-time analysis and visualization of weapon system sensor data in order to help predict the need for maintenance. This toolbox will have a user-friendly interface and will be able to connect with various systems through a standardized database.
• *Main Tasks**
– Perform a literature and state-of-the-art study of the research domain.
– Collect and analyse existing datasets.
– Investigate various techniques for data visualization and data analysis.
– Analyse the obtained results and report at international conferences and in scientific journals.
– It is possible (but optional) to pursue a PhD in the framework of this research project.
• *Description du profil
• *Required skills**
• *Technical skills**
The applicant shall have a **_Master in Engineering/Applied Science/Computer Science/Artificial Intelligence/Mathematics/Physics or equivalent. _**
– Training or experience in programming, database systems and machine learning is required.
• *Personal skills**
– You conduct scientific research in an independent and upright way within a multidisciplinary environment
– You think in an innovative and creative way.
– You communicate your results in a clear, concise and precise manner.
– You take initiative.
– You are involved and result oriented.
– You are honest, loyal toward the institution and respect confidentiality.
– You plan and manage proactively your self-development, while being critical to your own functioning and striving to your self-improvement.
– You improve the team-spirit and solve interpersonal conflicts.
– You solve problems autonomously and find alternatives or solutions.
– You behave in a respectful way toward the others, their ideas and opinions as well as toward procedures and instructions.
– 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.
• *Other skills**
– The applicant shall have good knowledge of English (oral and written).
– Minimum knowledge of French or Dutch is an added value for collaboration with peers.
• *Specific requirement**
• *Avantages du poste
• *Contract**
– Probable date of recruitment: From June 1st 2023, in consultation with the applicant.
– Status: Full-time employment based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant).
– 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).
– 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);
– 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;
– Holidays:
– 26 days holiday / year from
Company:
ECOLE ROYALE MILITAIRE
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
