Job Title: Ad Astra Fellow - Assistant Professor of Artificial Intelligence in Food Engineering
The University College Dublin (UCD) School of Biosystems and Food Engineering is a dynamic, research-driven school with a clear focus on delivering excellent teaching programmes. Our school has an acknowledged international track record of research achievement across major fields including Food and Bioprocess Engineering, Biosystems Analysis and Modelling, Agricultural and Environmental Technologies, Energy and Circular Bioeconomy, with Sustainability as a focal point.
We offer a range of programmes in the Circular Bioeconomy, including the professionally accredited ME in Biosystems and Food Engineering, the MSc Eng in Food Engineering, and Full-time and Part-time taught programmes. We also offer 2-year dual degree MSc Programmes in Sustainability Engineering Leadership and the MSc Sustainable Food Systems through international and Erasmus Mundus partnerships.
Our school delivers undergraduate programmes in Sustainable systems engineering and Agri-systems technology, as well as a flexible learning for life platform. We now seek to appoint an Assistant Professor of Artificial Intelligence in Food Engineering to develop a programme of groundbreaking research and contribute inspirational teaching to advance the field of artificial intelligence in food engineering.
The successful candidate will have recognised research strengths in spectral imaging, sensor design and deployment, machine learning, as well as digital technologies for agriculture and food security. They will seek opportunities to establish new and collaborative research programmes aligned with our research ambition and excellence, which aim to provide solutions for sustainable food systems engineering and biological systems engineering for the circular bioeconomy.
The appointee will advance emerging concepts in food manufacturing engineering through deploying digital technologies and AI solutions in the food manufacturing sector in the context of the circular bioeconomy and innovations for carbon negative food production, multi-sensor data fusion to characterise and predict complex biological resources in food production and biorefineries, AI optimised sustainable food production from side streams or waste, streamlining data collection and handling approaches driving implementation, uptake and impact through explainable and interpretable models.
The appointee will be expected to enhance our education streams across Undergraduate programmes in Sustainable systems Engineering, Taught Masters programmes in Food Engineering, Digital Technology for Sustainable Agriculture and ME Biosystems and Food Engineering, and within our learning for life platform integrating micro credentials, International sustainability summer school and professional reskilling programmes.
This role requires engaging with diverse student cohorts and integrating research into teaching for all levels. The appointee will enhance our school's reputation and develop a record of outstanding research ambition and outputs.
Key Responsibilities:
* Conducting innovative research in the field of artificial intelligence in food engineering
* Developing and delivering high-quality teaching programmes in food engineering and related areas
* Establishing and maintaining collaborative research programmes with industry partners and other academic institutions
* Enhancing the school's education streams and contributing to the development of new programmes and initiatives
Requirements:
* A PhD in Food Engineering or a cognate discipline
* An honours primary degree in Engineering
* Recognised research strengths in spectral imaging, sensor design and deployment, machine learning, and digital technologies for agriculture and food security