Postdoc position AI and Digital Work in Agriculture

at  Universiteit Twente

KEY TAKEAWAYS

• 
  Hours
  38 - 40 hr.
• 
  Salary indication
  Salary gross/monthly
  based on full-time
  € 3,877 - € 5,090
• 
  Deadline
  30 Sep 2024
  Key takeaways
  You will take on one of the most ambitious topics in the field of industrialization: digitalization and artificial intelligence (AI) with autonomous machines, sensor data, and decision support systems. Despite technological advances, the use of AI technologies remains below expectations in agricultural working practices. Effective use of these novel technologies would enable precision farming as well as sustainable intensification, which can have profound impacts on climate change and economic performance. In this position, you will independently shine light into how novel AI systems transform agricultural work.
  The challenge

The research carried out during this PostDoc assignment is expected to contribute to theoretical advancements and practical applications. Tasks the candidate is expected to execute include:

• Advance theory on digital transformation of work from manual labour to knowledge worker in agriculture;
• Deepen the understanding of human-AI work through field research including qualitative (interviews), quantitative (experiments, surveys), and/or computational (digital traces) approaches;
• Develop and validate technical and organizational interventions that help agricultural SMEs adopt novel AI-based technologies successfully;
• Equip SMEs with the necessary knowledge and skills to effectively use AI and succeed in times of machine learning and AI.

As a PostDoc, your key responsibilities will be to manage and carry out independent research and assist in acquiring follow-up funding. You will participate in education, management, and valorization and disseminate research in the scientific community at the highest level.

YOUR PROFILE

We are looking for a highly motivated, enthusiastic team member – a researcher who is driven by curiosity and excellence. Your profile matches the following elements:

• You hold a PhD in information systems, organizational psychology, organizational behaviour, business administration, computer science or engineering with a human-centred focus, or adjacent fields;
• You have an affinity and/or experience with empirical and/or design research methods in information systems (qualitative, quantitative, and/or computational);
• You are committed to research and publishing at the highest level and excel at analysis and writing;
• You possess a strong team spirit and like to work in an interdisciplinary and internationally oriented environment;
• You carry out independent research and seek collaboration with partners from academia and industry;
• You possess strong communication skills and an excellent command of the English language as well as Dutch/German language due to the nature of the fieldwork.

• Advance theory on digital transformation of work from manual labour to knowledge worker in agriculture;
• Deepen the understanding of human-AI work through field research including qualitative (interviews), quantitative (experiments, surveys), and/or computational (digital traces) approaches;
• Develop and validate technical and organizational interventions that help agricultural SMEs adopt novel AI-based technologies successfully;
• Equip SMEs with the necessary knowledge and skills to effectively use AI and succeed in times of machine learning and AI