Lecturer in Big Data and Artificial Intelligence
€ 3.546 - € 5.538 per maandTijdelijk
Wageningen University & Research
Are you passionate about educating the next generation of data and AI professionals? Do you enjoy combining academic knowledge with practical applications in software, data, and intelligent systems? Then this position at Wageningen University & Research may be the ideal next step in your career. As Lecturer in Big Data and AI, you will contribute to education and innovation within the Information Technology Group. You will teach and coordinate courses in areas such as big data systems, artificial intelligence, machine learning, data engineering, and software systems. You will help students develop both theoretical understanding and practical engineering skills that are essential for designing modern intelligent systems. You will work in an international and interdisciplinary environment where digital technologies are increasingly applied to societal challenges in domains such as food, agriculture, environment, health, and sustainability. Your duties and responsibilities include:
You will work within the Information Technology Group , an international and collaborative team of researchers and educators focusing on AI, data science, and software engineering. The group is part of Wageningen University & Research and contributes to education and research at the intersection of IT and life sciences.
WUR welcomes applications from international candidates. However, for applicants for this specific position from outside the EU/EFTA zone, immigration restrictions may apply based on Dutch and EU immigration laws. Such candidates may be eligible for an “ orientation year ” in the Netherlands or a visa as a “ knowledge migrant ”.
- Teaching and coordinating courses in Big Data, AI, and related IT subjects;
- Supervising student projects, theses, and practical assignments;
- Contributing to curriculum development and educational innovation;
- Supporting the integration of AI and data technologies in education;
- Collaborating with colleagues on educational and applied research activities.
You will work within the Information Technology Group , an international and collaborative team of researchers and educators focusing on AI, data science, and software engineering. The group is part of Wageningen University & Research and contributes to education and research at the intersection of IT and life sciences.
Requirements
You are an enthusiastic educator with strong communication skills and a passion for teaching data science and artificial intelligence. You enjoy working in an international academic environment and supporting students in their learning and thesis trajectory. You also possess:- A completed PhD degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related field;
- Demonstrated knowledge of Big Data technologies and Artificial Intelligence;
- Experience with programming and modern data/AI frameworks;
- Strong communication and teaching skills;
- Excellent command of English.
- University teaching experience;
- Experience with Python, cloud technologies, distributed systems, or machine learning platforms;
- Affinity with interdisciplinary and application-driven education.
WUR welcomes applications from international candidates. However, for applicants for this specific position from outside the EU/EFTA zone, immigration restrictions may apply based on Dutch and EU immigration laws. Such candidates may be eligible for an “ orientation year ” in the Netherlands or a visa as a “ knowledge migrant ”.
Contract terms
Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include:- sabbatical leave, study leave, and partially paid parental leave;
- working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
- there is a strong focus on vitality and you can make use of the sports facilities available on campus for a small fee;
- a fixed year-end bonus of 8.3%;
- excellent pension scheme.
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