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Lecturer needed at University of Pretoria/Universiteit van Pretoria

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Job title : Lecturer

Job Location : Gauteng, Pretoria

Deadline : May 25, 2025

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RESPONSIBILITIES:

The incumbent’s responsibilities will include:

  • Joining a world class team of researchers working in the field of plant health and productivity in the Forestry and Agricultural Biotechnology Institute (FABI);
  • Associating with the Department of Computer Science and the African Institute for Data Science and AI (AfriDSAI);
  • Undertaking goal directed research in the field of Data Science and AI related to plant health and productivity and supervising postgraduate students in these fields;
  • Contributing to undergraduate and honours teaching in the associated Department;
  • Participating as a member of the FABI Management Committee to advance the goals of the institute;
  • Participating in the activities of other research teams within FABI and contributing to the effective operation of the Institute;
  • Engaging with a broad range of stakeholders linked to the Institute including other UP collaborators, international collaborators, local government and industry (including extension), as well as funding organisations that provide external support for FABI’s research.

MINIMUM REQUIREMENTS:

Lecturer:

  • A relevant PhD degree;
  • Teaching and research experience with an established publication record in leading international journals that demonstrates research at a high international standard;
  • Specialisation in the field of data science and AI, related to plant health, sensor technologies or related fields with applications relevant to Forestry and Agriculture;
  • Evidence of the ability to gain an NRF rating in the near future.

ADDED ADVANTAGES AND PREFERENCES:

  • A research focus on data science and AI;
  • Experience in working with emerging technologies in the field of plant health or productivity or plant phenotyping;
  • Experience working with other forms of biological data;
  • Experience working with sensor and imaging technologies;
  • Experience working with GIS linked data 
  • Experience working with climate change data;
  • Experience in engaging a broad range of academic and non-academic stakeholders and fundraising experience.

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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