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GelderlandOn site36 hours/week<3months
Contribute to a more sustainable and better world by applying advanced AI solutions in the bioeconomy and food domains.
- Initiate and work on innovative data-driven solutions, such as improving fermentation screening for plant-based ingredients and using large language model (LLM) tools for information extraction.
What you do
- Initiate new projects and ideas for acquisition by shaping new applied research propositions and supplying the insights needed to convey the value of AI solutions to partners & clients.
- Lead projects in which you and your team design and develop new AI solutions.
- Translate research questions into robust machine learning implementations, including preprocessing, model training, validation and deployment.
- Collaborate enthusiastically with domain specialists and software developers to integrate data-driven models with mechanistic or physics-based models and domain expertise.
- Show thought leadership on applying data & AI-solutions in the food & biobased domain.
What they ask
- A PhD in Artificial Intelligence, Machine Learning, Computer Science or a related field.
- At least 3 years of hands-on experience in AI / machine learning development (excluding PhD).
- Proven expertise in machine learning and generative AI methodologies (e.g., LLMs, RAG systems, agentic AI, feature engineering, model selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing).
- Experience or strong affinity with incorporating domain knowledge and constraints into data-driven models (Hybrid Modelling). Knowledge & experience in food and biobased domains is a plus.
- Proficiency in Python and modern machine-learning development, including version control (Git), testing, and reproducibility.
- Experience with cloud-based solutions (e.g., Azure) is a plus.
- C1 level of proficiency in English.
How to apply
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