Stages & Alternances

UI/UX Design Internship (PFE)

Appaxis Innovations •

Hybride4-6 moisExpire dans 13 jours

Role overview Position: UI/UX Design internship for final-year students looking to complete their end-of-studies internship (PFE). Focus: creating intuitive and meaningful digital experiences and designing user interfaces for mobile applications. Responsibilities Design user interfaces for mobile applications, including wireframes, prototypes, and design systems. Conduct research and usability tests, improve user experience based on feedback and data, and collaborate with product and development teams. Candidate profile Final-year student eligible for a 6-month PFE internship (end-of-studies project). Passionate about UI/UX, digital product design, and user psychology; creative mindset and strong attention to detail. Good knowledge of Figma or similar tools; a portfolio or Behance profile is a strong plus. What we offer Real project experience with high-impact products and mentorship from industry professionals. Modern design tools and an agile work environment, plus official documentation and guidance for university validation. Application instructions Send your CV plus a portfolio or Behance link (if available) with the subject: "UI/UX Internship – PFE – Your Name". Apply by email to: recrute@appaxisinnovations.tn. Limited spots — applications will be reviewed on a first-come, first-served basis; highlight creativity and user-centred thinking. Additional notes The internship emphasizes practical, real-world project contributions and collaboration with product and development teams. The posting mentions mentorship, university validation support, and the use of modern design tools (e.g., Figma).

Subject 40: Modality of Applying IAS 36 in the automotive sector in a crisis context PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Department & Profile Department: Finance. Profile required: Bachelor’s or Master’s degree in Bookkeeping. Objective of the PFE Analyse the way in which companies in the automotive sector perform asset revaluation and impairment testing under IAS 36 in a context of crisis and uncertainty. Assess the impact of the current crises on the financial statements of the automotive industry (sales, planification, Ebit, CAPEX, etc.). Main Tasks / Scope of Work Describe the impact of the current crises on the financial statement of the automotive industry (sales, planification, Ebit, CAPEX, … etc). Reestimate the ability of the company to generate future economic advantages according to the duration of the used equipment. Conception and execution of depreciation / impairment tests of assets using international standards, including application of the fair value principle. Define and document the way of depreciating intangible assets in line with IAS 36 and related IAS/IFRS guidance. Required Skills & Competencies Mastery of International Accounting Standards Board (IASB) standards, in particular IAS 36 (impairment of assets) and related IFRS guidance. Strong accounting and financial statement analysis skills; ability to forecast cash flows, CAPEX needs and Ebit effects under stress scenarios. Methodology & Deliverables Perform quantitative impairment tests: prepare cash flow forecasts, discount rate assessment, determination of recoverable amounts and comparison with carrying amounts. Deliverables: a written report with methodology and results, impairment test models (spreadsheets), recommendations on valuation approach (fair value vs value in use) and depreciation policy for intangible assets. Practical Details & Application Duration indicated: 06 Months (offered internship period: 4-6 months). Number of interns: 01 Intern. To apply, send your application to G-TN-StagePFE@autoelectric.com with the subject line specified below and include CV, transcript and a short cover letter describing relevant IAS/IFRS experience.

39 Financial Analysis of the Impact of the Crisis on the Automotive Sector PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Department: Finance. Profile sought: Bachelor’s or Master’s degree in Finance / Management Information Systems / Bookkeeping. Objective: Analyze the financial consequences of the current economic crisis on the automotive sector to support decision-making. Main Missions / Tasks Conduct a financial impact analysis of crisis-related risks on the automotive industry, including quantitative assessment. Evaluate changes in supply chain costs and assess effects of volume reduction on unit economics and margins. Reassess budgets and financial forecasts in light of new macroeconomic and sector-specific conditions. Recalculate transfer pricing schemes considering new economic conditions and propose adjustments. Provide clear, actionable recommendations to support short- and medium-term financial decision making. Required Skills, Methods & Deliverables Required skills: Financial analysis and management control; ability to build financial models and perform scenario analysis. Suggested methods: cost analysis, sensitivity and scenario modeling, forecasting, variance analysis, and transfer pricing recalculation. Expected deliverables: analytical report with findings, revised budgets/forecasts, transfer pricing recalculations, and a set of recommendations/policy proposals. Practical Information & How to Apply Duration: 06 Months (4-6 months). Number of interns: 01. Contact / application email: G-TN-StagePFE@autoelectric.com. When applying by email, use the subject line: "Application - Subject 39: Financial Analysis of the Impact of the Crisis on the Automotive Sector PFE".

38 Determinants of Workplace Well-being Considering the Generational Gap: A Mixed-Methods Study PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Department: Human Resources. Profile: HR Management; Psychology. Objective: Identifier les facteurs clés influençant le bien-être au travail en tenant compte du gap générationnel dans un contexte industriel, en combinant méthodes qualitatives et quantitatives basées sur les théories de la psychologie industrielle et organisationnelle. Missions principales Situation analysis & observation sur le terrain au sein du contexte industriel concerné. Planning and conducting semi-structured interviews avec des participants de différentes générations pour recueillir des données qualitatives. Quantitative survey design and analysis : conception d’un questionnaire, collecte et traitement statistique des données. Comparison of generational expectations et identification des différences et similitudes entre cohortes. Proposal of solutions to enhance workplace well-being : formulation de recommandations pratiques et interventions ciblées pour améliorer le bien-être intergénérationnel. Méthodologie et livrables attendus Approche mixtes (mixed-methods) : intégration des résultats qualitatifs et quantitatifs pour produire une analyse complète. Livrables : rapport d’analyse, jeu de données anonymisé, instruments de collecte (guide d’entretien et questionnaire), et un document de recommandations pratiques destinées à la direction RH. Compétences requises et profil recherché Required Skills: Knowledge in Management; Foundations of Psychology. Compétences recommandées : capacités d’analyse statistique (ex. SPSS/R), techniques d’entretien qualitatif, rédaction scientifique et synthèse des résultats. Nombre d’internes : 01. Durée : 06 Months. Candidature Pour postuler, envoyer votre CV et lettre de motivation à l’adresse suivante : G-TN-StagePFE@autoelectric.com. Veuillez indiquer en objet de votre mail : « Application - Subject 38: Determinants of Workplace Well-being Considering the Generational Gap (PFE) ».

Subject 36: Predictive Analysis of Production Defects in Automotive Wiring Harnesses PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Objectif Développer un système prédictif capable d'identifier les risques de défauts de production sur les faisceaux électriques (wiring harnesses). Exploiter les données de production pour estimer la probabilité de défaut par lot et permettre des actions correctives en ligne. Tâches et responsabilités Collecte et structuration des données de production issues de MES, ERP et bancs d'essai (intégration via APIs, exports CSV, stockage SQL Server). Conception et entraînement d'un modèle de machine learning pour prédire la probabilité de défaut pour chaque lot de production. Création d'un dashboard dynamique affichant les indicateurs clés de qualité et de performance et génération d'alertes prédictives destinées aux superviseurs de ligne. Documentation complète du travail (notebooks Jupyter, repository GitHub) et remise des artefacts techniques. Compétences et outils requis Data collection et stockage : SQL Server, exports CSV, intégration via MES APIs. Data analysis & ML : Python (Pandas, NumPy, Scikit-learn). Documentation & versioning : Jupyter Notebook, GitHub. Compétences attendues : préparation/feature engineering, validation croisée, évaluation de modèle (PR/ROC/calibration), déploiement basique de scoring pour production. Livrables et organisation Durée : 06 Months (contrat PFE sur 4-6 months). Nombre d'étudiants : 01 Intern. Livrables attendus : modèle ML opérationnel (code et artefacts), dashboard dynamique des KPIs, module d'alerting pour la supervision, documentation et notebooks reproductibles sur GitHub. Candidature Merci d'envoyer votre candidature par email à G-TN-StagePFE@autoelectric.com. Objet du mail à utiliser : "Application - Subject 36: Predictive Analysis of Production Defects in Automotive Wiring Harnesses PFE".

Subject 34: Modernizing the existing work processes through digital tools using AR technologies to clarify data sets and workflows PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Department: Research and Development. Profile: Student in Mechatronic or Electrical Engineering. The aim is to clarify intricate data sets and workflows and turn abstract information into actionable and intuitive insights for workers. Objectives and Expected Outcomes Modernize existing work processes by introducing digital tools based on Augmented Reality (AR) to visualize and interact with complex datasets and workflows. Deliver prototypes or demonstrators that allow workers to understand data flows, monitor processes in real time, and make actionable decisions. Tasks and Responsibilities Real-time monitoring: implement solutions to display live process data and KPIs within AR views to support decision-making on the shop floor. Interactive content creation: produce 3D models and animated AR content that overlays contextual information onto equipment or workflows. Predict workflow optimizations: analyze data streams and propose workflow changes or automated hints presented through AR to improve efficiency. Required Skills & Technologies 3D modelling and animation experience (creation and optimization of assets for AR consumption). Programming skills in C#, C++ or Java to develop interactive AR applications and integrate with data sources. Familiarity with AR development frameworks, real-time data visualization techniques and basic mechatronic or electrical system concepts is a plus. Practical Details & Deliverables Duration: 06 Months (internship length stated on the project; expected commitment 4-6 months). Number of interns: 02. Expected deliverables include an AR prototype/demo, documentation of workflows, and a report on proposed optimizations. How to apply To apply, send your CV and cover letter referencing this specific Subject 34 PFE to the internship contact: G-TN-StagePFE@autoelectric.com. For any questions about the project profile or technical expectations, contact the same address: G-TN-StagePFE@autoelectric.com.

33 Establishment of a Start-up Concept for the LAD Line Department PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project overview Objective: Define a clear and structured process for the start-up of the LAD production line to reduce start-up time and stabilize first-pass quality. Context: Production profile: Industrial Engineering; assignment performed by two interns over a 6-month period. Tasks & responsibilities Analyze current LAD line start-up processes, identify bottlenecks and variability sources during start-up sequences. Define standard operating procedures (SOPs) for line start-up, including checklists, sequence steps and roles/responsibilities. Balance workstations and calculate takt times to ensure workload distribution matches production targets and takt. Apply Lean tools (value stream mapping, 5S, kaizen), MTM methods, and optimization techniques to improve efficiency and reduce waste. Create process documentation and CAD layouts for implementation of the new start-up concept (workstation layouts, material flow, ergonomic considerations). Support pilot testing of the new start-up concept on the LAD line and iterate based on pilot feedback. Required skills & tools Knowledge of Lean tools, takt time calculation, MTM (Methods-Time Measurement) and workstation balancing techniques. Experience with optimization techniques for production lines and familiarity with pilot testing methodologies. Proficiency in CAD to produce layouts and documentation for implementation (station dimensions, tooling placement, material flow). Analytical mindset, ability to collect and analyze time studies, and to translate findings into actionable SOPs. Deliverables & expected outcomes Documented analysis of current start-up process with identified improvement opportunities. Standard operating procedures for LAD line start-up and workstation balancing reports including takt time calculations. CAD layouts and process documentation ready for implementation and pilot testing support materials. Recommendations and implementation plan to roll out the start-up concept across the LAD department. Application To apply, contact: G-TN-StagePFE@autoelectric.com. Please use the email subject: "Application — Subject 33: Establishment of a Start-up Concept for the LAD Line Department PFE" when sending your application.

31 Kanban Rack for Coils & Layout Modification PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Department: Production – Cutting; project linked to GS50 project (installation of new machines) requiring layout rearrangement. Objective: Implementation of a Kanban system for coils and redesign of storage/layout to adapt to new machine installation and improve material flow. Main tasks / Responsibilities Analyze current coil flow and storage practices to identify bottlenecks and storage constraints. Define Kanban requirements and calculate Kanban dimensions (card/kanban sizes, quantities, replenishment rules). Design the Kanban rack and updated floor layout using AutoCAD, taking into account ergonomics and space from GS50 machine installation. Propose and validate improvement scenarios (layout alternatives, rack configurations, stock levels) and support pilots. Support the implementation of the Kanban system on shop floor and participate in validation and adjustment after deployment. Required skills & tools Lean and Kanban methodology knowledge for pull systems and inventory control. Proficiency in AutoCAD for layout and rack design drawings. Strong Excel skills for calculations, Kanban sizing, and data analysis. Industrial Engineering background (Bachelor’s or Master’s student) and familiarity with production/cutting environments. Deliverables & expected outcomes Detailed analysis report of current coil flow and storage including identified issues and improvement opportunities. Technical design drawings of the Kanban rack and updated plant layout in AutoCAD. Defined Kanban parameters (card sizes, number of kanbans, replenishment rules) and Excel calculation sheets. Implementation plan and validation report with recommended scenario(s) and metrics to monitor post-implementation (e.g., stock levels, lead times). Practical information Duration: 06 Months (internship length stated as 06 Months). Number of interns: 01 or 02 interns for this subject. Close collaboration with Production – Cutting team and project stakeholders of the GS50 installation. How to apply To apply, send your application specifically for this subject to: G-TN-StagePFE@autoelectric.com Include in your email: resume, relevant coursework or projects (AutoCAD, Lean/Kanban), and availability for the 06-month internship.

30 Design and implementation of a CIP software for managing continuous improvement ideas PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Implement an ergonomic and secure software solution that covers the entire lifecycle of improvement ideas, from collection to recognition of contributors. Project assigned to the Continuous Improvement department for one intern (Number of Interns: 01 Intern). Duration: 06 Months. Objectives and Main Tasks Database Design and Implementation: design the relational data model to store ideas, users, scoring, workflows, points and recognition records. Develop front-end forms for idea submission and interfaces for reviewers/approvers; implement back-end logic for scoring, workflows and a points system. Required Skills & Technologies Programming knowledge: VBA/Excel, general web stack (HTML/CSS/JS), Python or Java — ability to prototype and implement front-end and back-end components. Database design and management: SQL and relational databases; basic understanding of workflow automation. Functional Deliverables End-to-end submission flow: user-friendly form(s) for idea capture, attachments and categorization. Back-end modules to handle scoring, routing/approval workflows, points accumulation and contributor recognition rules. Dashboards, Reporting & Metrics Create dashboards and reporting modules to visualize idea pipeline, status breakdown, scoring distributions and contributor rankings. Implement exportable reports (CSV/Excel) and summary views for management review. Security, User Management & Quality Implement user authentication/authorization and role-based access (submitter, reviewer, approver, admin). Ensure data integrity, input validation, secure storage of sensitive fields and audit trails for idea lifecycle events. Documentation, Training & Handover Provide technical documentation (architecture, database schema, API/endpoints, install/run steps) and user manuals for end users. Prepare training materials and deliver at least one training session for administrators and users. Application To apply, send your CV and a short cover note referencing this project to the following email: G-TN-StagePFE@autoelectric.com. Include details of relevant projects or code samples (VBA/Excel, web stack, Python/Java, and any database schemas) in your application.

29 Conception and realization of Marking Machine PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Department: Engineering. Profile: Engineer / Master´s student in Electromechanical. Objective: design, develop and implement an automatic machine for marking wires to ensure fast and high-quality marking. Number of interns: 02. Duration: 06 Months. Main tasks Conduct feasibility study and perform complete machine mechanical design (mechanisms, fixtures, frame, integration of marking head). Create the electronic control system and specify components (motors, encoders, sensors, motor drivers, controllers, power supply, connectors). Develop control software/firmware for the machine and the automated system using C/C++ and integrate with control hardware. Implement safety devices (interlocks, guards, E‑stop, emergency procedures) and ensure compliance with relevant safety standards. Prepare comprehensive technical documentation: user manual, maintenance manual, wiring diagrams, BOM and assembly instructions. Train production personnel in the use and basic maintenance of the system. Required skills & profile Mechanical design and control system design experience (CAD, mechanism sizing, kinematics). Embedded software development in C/C++ for motor/sensor control and real-time tasks. Familiarity with motors (stepper/servo), sensors, controllers (PLC/embedded controllers) and electrical schematics. Ability to write clear technical documentation and perform operator training. Deliverables & expected outputs Feasibility report, CAD models and detailed machine drawings ready for manufacture. Electrical schematics, component specifications and a full Bill of Materials (BOM). Control firmware/software in C/C++ with operator interface/HMI and test procedures. Safety assessment, installation and commissioning plan, user and maintenance manuals. Training sessions for production staff and handover package. How to apply Send your application (CV + brief project proposal/statement of interest) to G-TN-StagePFE@autoelectric.com. Use the email subject: "Application for Subject 29: Conception and realization of Marking Machine PFE".

Subject 28: Conception and realization of Blindstpfen insertion Machine PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project overview Department: Engineering. Profile: Engineer / Master´s student in Electromechanical. This project aims to design, develop, and implement an automatic machine for the Blindstpfen insertion Process, aiming at creating an automated system with precision, speed, and efficiency while ensuring the quality of the final products. Main tasks and responsibilities Feasibility study and machine design: perform concept studies, mechanical design and layout for the Blindstpfen insertion machine. Create the electronic control system and specify components such as motors, sensors, controllers, etc.; Develop control software for the machine and the automated system (C/C++). Implement safety devices and prepare comprehensive technical documentation, including user and maintenance manuals. Train production personnel in the use of the system and support initial commissioning in production. Required skills and candidate profile Mechanical design / control system design experience and coursework; knowledge of electromechanical systems is required. Programming skills in C/C++ for embedded or control applications; experience with motor control and sensors is a plus. Profile sought: Engineer / Master´s student in Electromechanical. Deliverables, team and logistics Deliverables: feasibility study report, full machine mechanical design, electronic control system specification, control software, safety implementation, user and maintenance manuals. Number of interns: 02 interns. Duration: 06 Months (listed) — offer duration classified as 4-6 months. How to apply To apply, send your application to the project contact email: G-TN-StagePFE@autoelectric.com. In your application include CV, motivation letter, and any relevant project or coursework demonstrating mechanical design and C/C++ control software experience.

26 Creation of an Automated Quality Dashboard PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project overview Develop an automated digital dashboard to monitor key quality indicators: PPM internal/external, scrap rate, audit results, actions follow-up, 8D progress. Objective: reduce manual reporting time and provide improved real-time visibility for Quality and Production teams. Key tasks and deliverables Identify key indicators and data sources (production, quality, maintenance) and map data flows for each KPI. Define KPI calculation methods and the visualization structure; produce a clear list of formulas and transformation rules. Develop an automated dashboard using Excel (VBA), Power BI, or Python; ensure interactive visualizations and exportable reports. Implement data connection and update automation (database logic, scheduled refreshes or macros) and deliver final dashboard files. Validate the dashboard with end-users (Quality Manager, Production), incorporate feedback and finalize documentation. Train users and prepare user documentation and quick-reference guides. Required skills & technical stack Advanced Excel (formulas, VBA) OR Power BI OR Python for dashboards and reporting automation. Knowledge of IATF 16949 quality indicators and familiarity with quality metrics (PPM, scrap, audit findings, 8D tracking). Understanding of database logic, data extraction, ETL basics and reporting automation; ability to connect to production/quality data sources. Good communication and presentation skills to run validation sessions and user training. Project specifics and organization Duration: 06 Months; Number of interns: 02 interns. Work includes: design of KPI calculations, implementation of automated refresh, user validation sessions, and creation of training materials. Expected deliverables: working automated dashboard, documentation (calculation rules, data mapping), and training session completion. Validation, stakeholders & support Primary stakeholders: Quality Manager and Production representatives who will validate KPI definitions and dashboard usability. Activities with stakeholders: validation workshops, iterative feedback incorporation, and final user acceptance testing. Support: access to source data (production/quality/maintenance) and a contact in Quality for validation and acceptance. How to apply To apply, send your CV and a brief motivation to G-TN-StagePFE@autoelectric.com with the subject line: "Application: Subject 26 - Creation of an Automated Quality Dashboard PFE".

27 Implementation of the KANBAN System PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project overview Implementation of a Kanban system to improve workflow, reduce work-in-progress, and ensure faster, more visual replenishment in the Logistics department. Focus on integrating Kanban with existing material request and physical inventory management processes. Tasks and responsibilities Create and organize Kanban cards for products and production lines according to product flows and replenishment rules. Link the Kanban process with physical inventory management and material request procedures to ensure accurate stock control. Monitor performance indicators and suggest improvements to increase workflow efficiency and reduce lead times. Required skills and profile Engineering student with knowledge in material request management, stock management, and material flow processes. Strong analytical and organizational skills; ability to analyze inventory data and propose process improvements. Practical details Duration: 06 Months (4-6 months internship period). Number of interns: 02 interns. Expected deliverables: Kanban cards and layout, documented linkage between Kanban and inventory systems, performance monitoring reports, and improvement recommendations. How to apply To apply, send your application to the internship contact: G-TN-StagePFE@autoelectric.com. Include in your email CV, a short motivation letter explaining relevant experience with stock/material flow, and a subject line referencing this project.

24 Subject 24: Implementation of Statistical Process Control (SPC) Charts for USS Machine Department : Quality PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project Objective Develop and implement a system to automatically verify the conformity of electrical testing labels for USS machines. Ensure label data integrity (part number, batch, test date, OK/NOK status) and guarantee traceability in line with customer and IATF 16949 requirements. Scope & Responsibilities Identify critical process parameters on USS machines and collect relevant historical and live production data. Design and deploy Statistical Process Control (SPC) charts, define control limits and establish reaction plans for out-of-control conditions. Tasks / Activities Extract and clean historical data from USS machines and production records to feed SPC analysis. Implement control charts (e.g., X̄-R, p, or other appropriate charts) and configure monitoring frequency and alerting criteria. Required Skills & Tools Knowledge of SPC methods and Measurement System Analysis (MSA) studies. Proficiency with Excel or statistical software such as Minitab or JMP; understanding of production processes and data collection. Training, Rollout & Validation Train operators and quality staff on SPC interpretation, control limits, and the established reaction plans. Validate effectiveness through a pilot implementation and adjust control plans based on pilot results and capability studies. Deliverables & Compliance Deliver SPC chart suite, documented control limits, reaction plans, and a final report demonstrating improvements and traceability compliance with IATF 16949. Provide documentation and evidence of pilot validation, operator training records, and recommendations for full-scale rollout. Practical Details & Application Quality Profile: Engineering student in Quality, Industrial Engineering, or Statistics. Duration: 06 Months. Number of Interns: 01 Intern. To apply, send your application to G-TN-StagePFE@autoelectric.com with the subject line indicated below. For questions, use the same email address.

Subject 25: Capability Study for Electrical Testing Table PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Objective Evaluate and validate the measurement capability (Cp, Cpk) and repeatability of the electrical testing table used in final inspection. Ensure reliability of the test equipment and compliance with customer specifications and IATF 16949. Main Tasks Map the testing process and identify key measurable parameters relevant to final inspection. Collect and analyze measurement data, perform capability study (Cp, Cpk) and MSA (Gauge R&R). Identify sources of variation and propose corrective actions to improve measurement system performance. Define acceptance criteria and a periodic verification plan for the testing table. Document the results and conclusions in a comprehensive validation report. Required Skills & Tools Knowledge of statistical analysis and measurement system analysis methods (Cp, Cpk, Gauge R&R). Familiarity with electrical testing systems used in final inspection and ability to map test procedures. Proficiency with Excel, Minitab, or similar statistical tools for data analysis. Analytical rigor, strong documentation skills, and ability to propose corrective actions. Deliverables Process map identifying key measurable parameters and measurement points. Dataset and analysis files (Excel/Minitab) used for capability and MSA studies. Validation report summarizing Cp, Cpk, Gauge R&R results, identified variation sources, corrective actions, and periodic verification plan. Practical Details & Application Duration: 06 Months (4-6 months internship). Number of interns: 01. To apply, send your application referencing this project to G-TN-StagePFE@autoelectric.com.

23 Automatic check of EOL label PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Objectif du projet Développer et implémenter un système automatique pour vérifier la conformité des étiquettes de test électriques (EOL) afin d'éliminer les erreurs d'inspection manuelle. Garantir la conformité des données d'étiquette (référence pièce, lot, date de test, statut OK/NOK) et la traçabilité selon les exigences clients et la norme IATF 16949. Tâches et livrables attendus Étudier le processus actuel de génération et d'impression des étiquettes électriques et définir les points de contrôle nécessaires. Définir les critères de contrôle (champs de données, formatage, exactitude des codes-barres) et produire la documentation associée (procédure, mode opératoire, rapport de validation). Développer un outil de vérification basé sur vision/contrôle pour valider les étiquettes en sortie (lecture de codes-barres, OCR, validation de champs). Tester la solution en zone pilote (testing zone), valider l'exactitude et la fiabilité, assurer l'intégration avec aPIMS et produire le rapport de validation. Compétences requises Programmation de base : Python, VBA ou LabVIEW. Compréhension des systèmes de vision et de lecture de codes-barres (barcode reading, OCR). Capacité d'analyse, logique de validation de données et rédaction de procédures/rapports de validation. Détails pratiques et contraintes qualité Durée : 06 Months (poste d'un stagiaire : 01). Intégration attendue avec aPIMS et respect des exigences de traçabilité IATF 16949. Tests en condition pilote dans une zone de test dédiée pour évaluer la fiabilité du système (taux de détection d'erreurs, faux positifs/négatifs). Contact et candidature Pour postuler, envoyer votre candidature à : G-TN-StagePFE@autoelectric.com Indiquez dans votre dossier votre expérience en vision industrielle et exemples de scripts/outils (Python, LabVIEW ou VBA) en rapport avec la lecture de codes-barres ou la validation de données.

20 Design of an Automatic Washing Tunnel for Industrial Boxes and Cups PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Overview Conception et design d'un tunnel de lavage automatique destiné au nettoyage d'objets industriels (boîtes et gobelets) avec l'objectif d'obtenir un lavage rapide, uniforme et économe en eau. Projet rattaché au département Engineering; profil recherché : Mechanical, Mechatronics, ou Electromechanical Engineering. Nombre de stagiaires : 02. Tâches principales Réaliser l'étude fonctionnelle et rédiger le cahier des charges détaillé du tunnel de lavage. Conception mécanique 3D complète du tunnel en utilisant SolidWorks ou Autodesk Inventor (assemblages, pièces, tolérances, plans de fabrication). Dimensionnement du circuit de lavage : sélection et calcul des pompes, buses/nozzles, débit, pression et trajectoires de jets. Programmation d'un automate Siemens pour la gestion des cycles automatiques (séquences, temporisations, sécurités, I/O). Étude du système de convoyage et synchronisation des étapes de lavage (entrées/sorties, capteurs, cadence). Optimisation des temps de cycle et réduction de la consommation d'eau, prise en compte de la maintenabilité et de la robustesse industrielle. Compétences et outils requis Conception mécanique : maîtrise de SolidWorks ou Autodesk Inventor pour la modélisation 3D et plans de fabrication. Études hydrauliques et cinématiques : calculs de débit, pression, perte de charge et trajectoires mécaniques. Programmation d'automates Siemens (STEP 7/TIA Portal ou équivalent) et connaissances en automatisme industriel. Connaissances en intégration électromécanique (capteurs, actionneurs, motorisation, réglages de convoyeur). Aptitudes à la rédaction technique, réalisation de notes de calcul, protocoles d'essais et travail en équipe. Livrables attendus Cahier des charges fonctionnel et dossier d'analyse (spécifications, contraintes industrielles). Modèles 3D et plans d'ensemble et de détail (format fichiers CAO + PDF imprimables). Notes de dimensionnement du circuit de lavage (pompes, buses, débits, pressions) et schémas de tuyauterie. Code automate Siemens et documentation d'implantation (diagrammes de séquence, I/O list, HMI si applicable). Rapport d'essais et mesures de performance (temps de cycle, efficacité de nettoyage, consommation d'eau) et recommandations d'optimisation. Informations pratiques & contact Durée : 06 Months (02 interns) — 4-6 months. Département : Engineering. Profil : Mechanical / Mechatronics / Electromechanical. Pour postuler, envoyer candidature (CV + lettre / projet) à : G-TN-StagePFE@autoelectric.com

22 Development of an innovative digital training platform PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project Overview Create a platform for managing digitalized training modules specifically for the industrial sector. Implement advanced features such as automated training reminders with acknowledgment tracking, immediate and long-term skills assessments, online feedback surveys, and statistical dashboards with reporting tools for management. Tasks & Deliverables Participate in the design and development of the platform (web/app) covering both back-end and front-end responsibilities. Deliver modules including an automated reminders system with tracking, an evaluation module (immediate and delayed quizzes with scoring), user feedback interfaces and statistical analysis dashboards; produce final documentation of the project and automated processes. Required Skills & Technologies Proficiency in web development: HTML, CSS, JavaScript and modern frameworks such as React, Angular, or Vue. Knowledge of databases (SQL/NoSQL); experience building RESTful APIs, authentication/authorization, and integrating front-end with back-end services is highly relevant. Implementation Details & Expectations Design and integrate an automated reminders module that logs acknowledgments and supports scheduling (immediate and recurring reminders). Design evaluation flows for both immediate quizzes and delayed assessments to measure short-term and long-term skill retention, implement scoring and reporting. Implement feedback collection via online surveys and connect results to statistical dashboards with exportable reports for management. Logistics Duration: 04 to 06 Months. Number of interns: 01 or 02 interns expected to collaborate on the project. How to apply To apply for this specific project send your application to G-TN-StagePFE@autoelectric.com including the subject line indicated below.

19 Automatic Grooved Tube Cutting Machine PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project Overview Objective: Design an automatic machine for cutting corrugated (grooved) tubes with high precision. Department: Engineering. Profile: Mechanical, Mechatronics, or Electromechanical Engineer. Number of interns: 02. Duration: 06 Months. Main Tasks / Responsibilities Functional study and definition of the specifications for the automatic grooved/corrugated tube cutting machine. 3D mechanical design of the machine using SolidWorks or Autodesk Inventor and sizing of mechanical components (guiding, transmission, motorization, sensors). Development of the automated control logic using Siemens PLC and simulation of the operation to optimize the cutting cycle. Required Skills & Tools Mechanical design experience with SolidWorks or Autodesk Inventor. Siemens PLC programming knowledge and general automation experience (sensors, actuators, control logic). Understanding of mechanical component sizing: guiding systems, transmissions, motorization and sensor integration. Expected Deliverables Complete functional specification and design documentation for the machine. 3D CAD models and mechanical calculations/sizing for guiding, transmission and motorization. Siemens PLC program implementing the control logic, plus simulation results and an optimized cutting cycle. How to Apply Send your application (CV + short motivation) by email to G-TN-StagePFE@autoelectric.com.

Subject 18: Design and Development of an Automatic Machine for Untwisting and Straightening Conductive Wires PFE

Nexans Autoelectric Tunisia •

Hybride4-6 moisExpire dans 13 jours

Project overview Design and develop an automatic machine capable of untwisting (left-right rotation) and straightening twisted conductive wires. Aim to produce a functional prototype with validated performance for cycle time, repeatability, and straightening quality. Duration: 06 Months. Number of Interns: 02 Interns. Main tasks and deliverables Complete mechanical design of the system including guiding, driving, holding, and straightening mechanisms. 3D modeling and sizing of mechanical and electromechanical components using SolidWorks or Autodesk Inventor. Programming of the automatic cycle covering time management, left/right rotation control, safety interlocks and emergency stop. Development of a functional prototype and experimental validation (measure cycle time, repeatability, and straightening quality). Required skills and technologies Mechanical design experience (SolidWorks or Autodesk Inventor) and component sizing. Industrial automation skills: PLC, API, or microcontroller programming for motion and sequence control. Knowledge of sensors, kinematics, and machine safety (safety circuits, emergency stop implementation). Experimental validation and performance targets Implement test plans to evaluate cycle time, repeatability, and straightening quality under representative conditions. Data collection and analysis to quantify improvements and identify design iterations. Ensure safety validation and reliable emergency-stop behavior during tests. Application To apply, send your CV and a short motivation letter to G-TN-StagePFE@autoelectric.com. Include in the email subject the project title as specified and reference any related coursework or projects in mechanical design and automation.