AEROCONTACT

About the Company

Aerocontact is the french-leading specialized job board in the aviation, aerospace and defence field, founded in 2003, and leader for 13 years now. We totalize more than 200 00 visits and 1 million viewed pages each month.

Our international version has been launched in 2014, and currently totalizes 550 job offers and the same database than the French version.


200 000 visits each month – 1 000 000 viewed pages – 225 000 members – 55 000 CVs.

Visit the international job board : http://en.aerocontact.com

Listed Jobs

Company Name

AEROCONTACT

Job Title

Référent Applicatif CRM & Portail Client - F/H - SAFRAN ELECTRONICS & DEFENSE S.A.S FRANCE

Job Description

**Job Title** CRM & Client Portal Application Lead **Role Summary** Responsible for the operating availability, performance and continual improvement of the CRM and Client Portal stack, including EDI, within the Application Services Directorate of a global aerospace and defense company. Acts as a bridge between business users, IT teams and external vendors to ensure solutions meet business requirements and evolve with emerging technologies. **Expectations** - Deliver 24/7 operational support for CRM and Client Portal applications. - Drive application enhancements, migrations and new environment deployments. - Maintain alignment of IT architecture with business processes. - Up‑to‑date knowledge base and configuration management for the portfolio. **Key Responsibilities** - Manage incident and service request lifecycle (identification, diagnosis, resolution). - Oversee day‑to‑day operation: monitoring, performance tuning, capacity planning. - Define functional architecture and technical standards for CRM/Portal solutions. - Lead project‑phase work: requirements gathering, scope definition, resource planning. - Coordinate with business users, developers, platform architects and external vendors. - Ensure documentation, knowledge transfer and configuration management are accurate. - Participate in change management, release planning and post‑implementation reviews. - Work across multiple disciplines to support platform re‑platforming, migration, and integration initiatives. **Required Skills** - Business analysis & requirement elicitation in cross‑functional environments. - Project management (planning, execution, stakeholder communication). - Deep expertise in CRM (Microsoft Dynamics, Salesforce) and Client Portal technologies (Drupal, ReactJS). - Integration experience with AWS, Microsoft PowerPlatform, SharePoint, Teams, Mulesoft, Talend, SAP ERP, MDM, EDI. - Development knowledge: JavaScript, C#, .NET. - System architecture, SI urbanisation and technical documentation. - Problem‑diagnosis and troubleshooting of complex technical issues. - Fluent in English (written & spoken). - Effective communication, service‑oriented mindset, assertiveness, empathy, organisational rigor. **Required Education & Certifications** - Minimum Master’s (Bac+5) in Information Systems, Computer Science or related field. - ≥5 years of experience leading digital projects and maintaining CRM/Portal solutions. - Relevant certifications in Dynamics (or Salesforce), Microsoft Azure/AWS Cloud, or project management (PMP/Prince2) preferred.

Massy, France

On site

Mid level

16-03-2026

Company Name

AEROCONTACT

Job Title

STAGE : Méthode de Transfert Learning pour composites stratifiés F/H - SAFRAN SA (FRANCE)

Job Description

**Job Title** Intern – Transfer Learning Methods for Laminated Composites **Role Summary** An engineering intern in Safran’s Digital Design and Development team working on data‑driven modeling of composite laminate properties. The role focuses on evaluating, implementing, and integrating machine learning techniques to predict mechanical performance and facilitate design optimization. **Expectations** - Work within an interdisciplinary digital team to improve laminate characterization. - Deliver technical analyses, statistical designs, machine learning models, and clear documentation. - Translate high‑fidelity physics models into transferable, data‑efficient solutions. **Key Responsibilities** - Critically review literature on supervised learning methods for material property estimation. - Master Safran’s internal tools for laminate property evaluation and stacking sequence definition. - Integrate and interface tools to enable end‑to‑end data pipelines. - Design experiments and statistical analysis to validate model predictions. - Build regression models for mechanical and fracture properties using synthetic, simplified‑model datasets. - Develop a transfer‑learning strategy to adapt high‑fidelity models to limited datasets. - Present results and author technical reports. **Required Skills** - Strong foundation in continuum mechanics, numerical simulation, and applied mathematics. - Proficiency in Python programming. - Familiarity with machine‑learning libraries (Scikit‑learn, PyTorch) and concepts (regression, transfer learning, deep learning). - Ability to synthesize complex findings and communicate effectively. - Knowledge of laminated composite materials is advantageous. **Required Education & Certifications** - Bachelor’s or Master’s degree (or equivalent) in Mechanical Engineering, Materials Engineering, Applied Mathematics, or related fields, specializing in continuum mechanics, numerical simulation, or applied math. - No specific professional certifications required.

Itteville, France

On site

16-03-2026

Company Name

AEROCONTACT

Job Title

Stage : Mise en place d'une stratégie de calcul pour la détermination d'admissibles virtuels F/H - SAFRAN SA (FRANCE)

Job Description

Job title: Internship – Computational Strategy for Virtual Admissible Composite Stacking Sequences Role Summary: Intern will develop and extend numerical simulation tools and statistical methodologies to predict damage and failure in composite laminate stacking sequences, enabling the definition of virtual admissible configurations for automated fibre placement processes. Expections: Effectively incorporate variability (material properties, failure criteria, manufacturing singularities) into simulations, introduce new materials, analyze statistical outcomes, and establish a preliminary methodology for virtual admissible determination. Align work with ongoing machine‑learning research on reinforced composites. Key Responsibilities: 1. Review and expand current state‑of‑the‑art methods for virtual admissible assessment and damage‑in‑law models. 2. Assimilate existing experimental and computational data, gaining comprehensive knowledge of composite laminate behavior. 3. Gain proficiency with numerical tools used for virtual admissible predictions. 4. Conduct material‑law identification for additional composite systems. 5. Initiate the development of a systematic process to generate virtual admissibility. 6. Liaise with research teams working on machine‑learning models for composite behavior. 7. Document findings, maintain an internal knowledge base, and prepare reports for potential simulation‑based validation testing. Required Skills: - Strong foundation in mechanics and mechanical engineering principles. - Knowledge of composite materials and laminate theory (CLT, etc.). - Proficiency in finite‑element analysis of composites. - Statistical analysis skills for managing variability and uncertainty. - Programming ability in Python (preferred). - Familiarity with material characterization testing (standard procedures). - Analytical thinking and ability to translate complex data into actionable insights. Required Education & Certifications: - Current enrollment in or completion of an Engineering degree program with specializations in mechanics, composite materials, or numerical simulation. - Coursework or proven experience in material mechanics, composite testing, finite‑element modeling, and statistics. - No specific certifications required, though related industry or academic credentials (e.g., certifications in FEM or materials testing) would be advantageous.

Itteville, France

On site

17-03-2026

Company Name

AEROCONTACT

Job Title

ALTERNANCE Chargé-e d'étude de marché militaire F/H - SAFRAN HELICOPTER ENGINES FRANCE

Job Description

**Job title:** Apprentice Military Market Analyst (F/M) **Role Summary:** Support the Performance and Support Department in gathering, analyzing, and reporting competitive and market intelligence related to military aviation. Develop automation tools, enhance share point intelligence platforms, maintain databases, and conduct targeted competitor studies under the guidance of a mentor. **Expectations:** - Commences September 2026 as part of an apprenticeship program. - Works within the company’s performance analytics team to deliver actionable insights for military aviation packaging. - Collaborates closely with cross‑functional teams to integrate new data tools and improve existing knowledge‑management systems. **Key Responsibilities:** - Design and implement automation solutions for real‑time data collection and analysis, evaluating AI utilization. - Propose and execute improvements to the military‑intelligence SharePoint C3 system and the collaborative watch‑site for SHE. - Conduct on‑demand competitor profiling studies, including market positioning and product comparison. - Update and maintain relational databases used for market and intelligence research. - Collaborate with team members to ensure accuracy, relevance, and timely dissemination of market intelligence. **Required Skills:** - Proficient in Python or comparable programming language for data automation. - Strong analytical and problem‑solving abilities. - Ability to propose actionable improvements and take initiative. - Comfortable working in a team environment and communicating findings clearly. - Motivation to grow within the aerospace and defense sector. **Required Education & Certifications:** - Currently enrolled in a Master’s program in Computer Science or related field. - Demonstrated academic performance in data analytics or market intelligence coursework. - No specific certifications required, but familiarity with database tools and Microsoft SharePoint is an advantage.

Bordes, France

On site

18-03-2026