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Machine Vision / Mechanical Engineer Ghent VIB-UGent Center for Plant Systems Biology Posted Date 30 Jul 2026 Locations Ghent Center VIB-UGent Center for Plant Systems Biology Lab Hilde Nelissen Lab
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/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in mechanical engineering, mechatronics, robotics, Computer science, or a related field Experience in machine learning
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Number PRN45731B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level P4 - Advanced, P3 - Career FLSA Code Computer
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Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research experience in machine learning, power systems, or
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Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research experience in machine learning, power systems, or
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/ML solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Experience and knowledge in
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solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Experience and knowledge in cybersecurity
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data analytics techniques Background in developing AI/ML solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision
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solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Experience and knowledge in cybersecurity
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/ML solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Experience and knowledge in