Digital Manufacturing Solutions Intern
6 giorni fa
Roles and Responsibilities:
Contribute to the development and deployment of Agentic Manufacturing Solutions (AMS), integrating LLM-powered Vertical AI Agents with MPC, OR, and DRL techniques.
Support the creation of cognitive preprocessing modules for handling heterogeneous and noisy manufacturing data.
Assist in designing optimization workflows using MPC for scheduling, resource allocation, and multi-objective decision-making under constraints.
Participate in the prototyping and testing of DRL-based adaptive control strategies.
Collaborate with cross-functional teams to validate AI-driven decision-making in real manufacturing environments.
Contribute to transparency and explainability modules to help operators understand and trust system recommendations.
Engage in iterative design reviews with manufacturing experts to ensure alignment with shop-floor requirements and industrial standards.
Analyze system performance to quantify improvements in productivity, quality, and resource efficiency.
Desired Characteristics:
Strong analytical and quantitative skills with an interest in AI, optimization, or advanced automation.
Ability to clearly communicate technical concepts and collaborate with cross-functional teams.
Demonstrated integrity with a strong team-oriented mindset.
Curiosity and willingness to work in a fast-paced, innovation-driven industrial environment.
Capacity to work independently, propose improvements, and adopt a proactive approach to problem-solving.
Qualifications / Requirements:
Italian work permit is required.
Ready to graduate or recent graduate from an MSc or Master's degree.
Major in Engineering, Computer Science, Automation, Robotics, Industrial Engineering, or related fields is preferred.
Prior experience in manufacturing, AI/ML projects, automation, or optimization is considered a plus.
Participation in exchange programs will be considered a plus.
Fluent in spoken and written English. Fluency in Italian is preferred.
Knowledge of Python, data analysis, optimization methods, machine learning, or control systems is highly valued.
- English is required.
- Hybrid job.
- Preferred start date: beginning/mid of January
Additional InformationRelocation Assistance Provided: No
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