Prasanalakshmi B
4 weeks ago
Postdoctoral Fellowship in Evaluation of Large Language Models for Digital Agriculture at Embrapa Digital Agriculture, Brazil Embrapa Agricultura Digital in Brazil
Degree Level
Postdoc
Field of study
Computer Science
Funding
The selected fellow will receive a FAPESP Postdoctoral Fellowship of R$ 12,570.00 per month (approximately US$ 2,330/month) and a Technical Reserve equivalent to 10% of the annual scholarship amount to cover unforeseen expenses directly related to research activities. The fellowship duration is 12 months, extendable for an additional 12 months (total of 2 years).
Deadline
Mar 15, 2026
Country
Brazil
University
Embrapa Agricultura Digital

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About this position
Embrapa Agricultura Digital, in partnership with the Science Center for Development in Digital Agriculture (SCD-AD/SemeAr) and supported by FAPESP, is offering a postdoctoral fellowship focused on the evaluation of Large Language Models (LLMs) for digital agriculture. The position is based in Campinas, São Paulo State, Brazil, at the Embrapa Digital Agriculture headquarters located within the University of Campinas campus.
The research aims to enhance agricultural production and sustainability through the application of digital technologies, specifically by developing and evaluating LLMs tailored for agricultural extension subdomains. The postdoc will be responsible for developing specific benchmarks, selecting and implementing evaluation metrics (both objective and subjective), and integrating these into the LLM development pipeline using Python. The role also involves experimental planning with statisticians, analyzing and recommending suitable models for each subdomain, and preparing scientific publications based on the research outcomes.
The successful candidate will join a multidisciplinary team and be supervised by Professor Thiago Santos and Professor Silvia Maria Fonseca Silveira Massruhá. Applicants must have a PhD in computer science or a related field, experience with LLMs, evaluation metrics, and Python programming, and a strong publication record. The position is open to candidates of any nationality.
The fellowship provides a monthly stipend of R$ 12,570.00 (about US$ 2,330) and a technical reserve (10% of the annual scholarship) for research-related expenses. The initial duration is 12 months, with the possibility of extension for another 12 months, totaling two years. For more details on funding rules, see the FAPESP guidelines.
To apply, candidates should send their Lattes Curriculum and/or ORCID, a detailed cover letter, and a list or link to publications to [email protected] and [email protected], copying [email protected], with 'POSTDOC' at the beginning of the subject line. Applications are accepted until March 15, 2026.
For further information, visit the official FAPESP opportunity page or contact the supervisors via the provided emails.
Funding details
The selected fellow will receive a FAPESP Postdoctoral Fellowship of R$ 12,570.00 per month (approximately US$ 2,330/month) and a Technical Reserve equivalent to 10% of the annual scholarship amount to cover unforeseen expenses directly related to research activities. The fellowship duration is 12 months, extendable for an additional 12 months (total of 2 years).
What's required
Applicants must hold a doctoral degree in computer science or a related field. Experience with large language models, evaluation metrics, and Python programming is required. Candidates should have a strong publication record and relevant experience in digital agriculture or artificial intelligence. The position is open to both Brazilian and international candidates. Applicants should provide a Lattes Curriculum and/or ORCID, a cover letter detailing qualifications and experience, and a list of publications or a link to them.
How to apply
Send your Lattes Curriculum and/or ORCID, cover letter, and publication list to [email protected] and [email protected], copying [email protected], with 'POSTDOC' at the start of the subject line. Applications are open until March 15, 2026. Include a detailed cover letter and links to publications.
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