PhD Position in Causal Machine Learning for Sustainable Smallholder Farming in Africa

  •  PhD
  •  04-Nov-2024
  •   Netherlands
  • $$  Fully funded PhD position

Wageningen University & Research is pleased to announce a Fully Funded PhD Position focusing on applying causal machine learning to enhance sustainable farming practices in Senegal.

To qualify for the PhD position at Wageningen University & Research, applicants must hold a Master’s degree in a relevant field such as artificial intelligence, computer science, applied mathematics, statistics, environmental or agricultural science, or remote sensing.Wageningen University & Research (WUR) is a leading institution located in the Netherlands, dedicated to life sciences and addressing global challenges related to food security, sustainability, and environmental management. Founded in 1876, WUR integrates education and research across various disciplines, including agriculture, environmental science, and social sciences, with a mission to explore the potential of nature to improve the quality of life.

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Wageningen Universiteit Information

Wageningen Universiteit Grants

PhD Position in Causal Machine Learning for Sustainable Smallholder Farming in Africa Founded in 1918, Wageningen Universiteit (Wageningen University) is a non-profit public higher education institution located in the medium-sized town of Wageningen (population range of 10,000-49,999 inhabitants), Gelderland. Officially accredited and/or recognized by the Ministerie van Onderwijs, Cultuur en Wetenschap, Nederland (Ministry of Education, Culture and Science, Netherlands), Wageningen Universiteit (WU) is a medium-sized (uniRank enrollment range: 9,000-9,999 students) coeducational higher education institution. Wageningen Universiteit (WU) offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details.

Eligibility Criteria

  • Eligible Countries: Applicants from all countries are welcome to apply.
  • Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the university, focusing on causal machine learning applications in agriculture.
  • Admissible Criteria: To be eligible, applicants must meet all the following criteria:
  • Hold a Master’s degree in artificial intelligence, computer science, applied mathematics, statistics, environmental or agricultural science, remote sensing, or a related field.
  • Have demonstrated experience in applied machine learning, preferably with causal methods or agricultural applications.
  • Proficient in programming in Python, with experience in PyTorch, scikit-learn, or similar modern machine learning libraries.
  • Experience working with big data from structured and unstructured sources.
  • Strong motivation to address global food security challenges from a low-income perspective.
  • Previous experience working or living in low- or middle-income countries, particularly Senegal, is a plus.
  • English language proficiency at C1 level is expected.
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Offered Benefits

Wageningen University offers an excellent compensation package, including:

  • A gross salary ranging from €2,872 per month in the first year to €3,670 in the fourth year, based on a full-time workweek of 38 hours.
  • A temporary contract for 18 months, extendable based on performance.
  • Additional benefits such as partially paid parental leave, flexible working hours, a strong focus on work-life balance, and access to sports facilities.
  • Excellent training opportunities and the chance to work in a collaborative international environment on a leading green campus in the Netherlands.

Application Process

To apply, candidates should submit their application through the vacancy page on the Wageningen University website, along with a mandatory form that allows the selection committee to assess their qualifications comprehensively.

Apply Here
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