About the Role

• We are seeking an AI Researcher to develop advanced, AI-driven computer vision systems for real-time defect monitoring in Laser Powder Bed Fusion (L-PBF) additive manufacturing. The role focuses on detecting, classifying, and quantifying microscopic and macroscopic defects during the powder re-coating and laser melting phases to ensure part quality and safety.
• You will work at the intersection of machine learning, computer vision, and advanced manufacturing, translating research concepts into deployable, real-time solutions.

Problem Statement

• During the L-PBF process, defects such as porosity (holes), hopping/recoil instabilities, powder residue, and streaking can occur and compromise part integrity. The objective of this role is to design and implement an AI-based monitoring system that can:
  Detect & Classify defects in real time during powder spreading and laser melting
  Quantify Severity of detected flaws and trigger alerts when thresholds are exceeded

Key Responsibilities

• Design and develop computer vision and deep learning models for real-time defect detection in L-PBF processes
• Research and implement methods to classify defect types (e.g., porosity, hopping, powder residue, streaking)
• Develop algorithms to quantify defect severity and confidence levels
• Integrate AI models with in-situ sensor data (optical, thermal, high-speed imaging, or melt-pool monitoring systems)
• Optimize models for low-latency, real-time inference on edge or industrial systems
• Collaborate with manufacturing, materials, and hardware teams to validate models on real production data
• Evaluate system performance using statistical and manufacturing-relevant metrics
• Document research findings and contribute to patents, publications, or internal technical reports

Required Qualifications

• PhD or Master’s degree in Computer Science, AI/ML, Robotics, Materials Science, Mechanical Engineering, or a related field
• Strong background in computer vision and deep learning (CNNs, transformers, anomaly detection)
• Experience with Python and deep learning frameworks (PyTorch, TensorFlow, or equivalent)
• Knowledge of image/video processing, feature extraction, and model evaluation
• Familiarity with real-time systems or performance-constrained ML deployment
• Ability to work with noisy, high-volume industrial data

Preferred Qualifications

• Experience with additive manufacturing, especially Laser Powder Bed Fusion (L-PBF)
• Knowledge of melt-pool monitoring, high-speed imaging, or thermal sensing
• Experience in defect detection, anomaly detection, or quality inspection systems
• Exposure to edge AI, GPU acceleration, or embedded deployment
• Publications or patents in AI, computer vision, or manufacturing-related fields

OPPORTUNITIES AND CHALLENGES:

• Opportunity to work in a professional, modern and energizing setting.
• Challenging projects, possibilities, cutting-edge technology, and problems.
• An open and dynamic working atmosphere that promotes the interchange of
  ideas, while also empowering you to work and create in your own style. Each
  employee's talent and accomplishments are valued, and outstanding employees
  are recognized and rewarded on a yearly basis.
• Opportunities for capacity development, as well as assistance with professional
  certification expenses, are available to those who work in the field (1 million - 5
  million).
• Some advanced certifications will cover the full cost of studying and taking the
  exam.

ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:

• Review salary 1-2 times/year, with the possibility of an unexpected salary rise
  based on capacity an infinite number of times per year
• Policy for 13th-Month Salary Bonus and Holiday Bonuses According to
  Company Regulations.
• Holiday travel mode (package 5-7 million/person), team building,…
•  Full participation in social insurance, as well as a yearly health checkup at a
  reputable hospital.