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GelderlandHybrid36 hours/week<3months
Are you an experienced machine learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions to contribute to a more sustainable and better world? We, a research institution, are looking for a researcher data & modelling.
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, including translating research questions into robust machine learning implementations (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.
Profile
- Solid experience with AI- and machine-learning-based approaches.
- Easily connect with colleagues from other areas of expertise, enjoying the dynamics of multidisciplinary teamwork.
- Comfortable explaining complex technical concepts to non-technical stakeholders/colleagues.
- Able to translate digital approaches into practical, usable solutions.
- Proactive, innovative and a strong team player.
- Contribute positively to collaboration and project success.
- 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.
Practical
- Initially a one-year contract, with the possibility of extension based on good performance and the economic situation within the organization.
- Applicants with solid work experience, but not yet the full track record, are also invited to apply.
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