(RFP301382) Senior Research Associate - Biotechnology

El Senior Research Associate coordinará el desarrollo técnico e implementación de pipelines de fenómica y agricultura digital para apoyar a fitomejoradores y agricultores mediante inteligencia artificial, visión por computadora y sensores remotos. Analizará imágenes de drones, dispositivos móviles, robots y satélites, desarrollará modelos de clasificación y cuantificación, y asegurará la integración de flujos de trabajo y gestión de datos. Trabajará en colaboración con consultores, ingenieros, científicos y socios de CGIAR en equipos multidisciplinarios.

Responsibilities

• Analyze data collected from drones, cell phones, robots, and satellite imagery.
• Advise and coordinate the development of crop trait prediction models in collaboration with the Deep Learning (DL) team, ensuring alignment with project objectives and technical standards.
• Develop AI/DL-powered classification and quantification models and contribute to improving the current Pheno- I software platform.
• Deploy functional AI models using Fairgrounds and Databricks infrastructure and provide services to CGIAR partners.
• Develop and document standard operating procedures (SOPs) for data collection and image analysis workflows.
• Support field operations teams to ensure accurate and high-quality data collection.
• Collaborate and share data with CGIAR partners across Africa, Asia, and Latin America.
• Integrate multiple data sources and manage data storage and workflows on centralized servers.
• Support deployment and scaling of digital agriculture and phenomics solutions for research and operational use.

Requirements

• Bachelor’s degree in electronic Engineer/Mechatronics or similar careers.
• Relevant experience and knowledge of drone and satellite Image analysis, machine learning algorithms.
• Experience in experimental design and knowledge of plant systems.
• Experience in analysis of large data sets; skilled in computer science, e.g., scripting languages and statistics such as “Python” and “R”; knowledge of quantitative image and analysis and data extraction
• Strong communication and interpersonal skills.
• Knowledge of a broad range of techniques including crop image computing, computer vision, or machine learning.

Nice to have

• Experience in Agentic AI/Deployment in Data bricks is a plus

Benefits

• This is a nationally recruited position placed at a BG07, on a scale of 14 levels, with level 14 being the highest.
• This is a Colombian national search and will be managed through a fixed term contract of a six (6) months period, subject to a probation period according to the local legislation and is renewable depending on performance and availability of resources. The Alliance Bioversity-CIAT offers a multicultural, collegial research environment with competitive salaries and excellent benefits. We are an equal opportunity employer, and strive for gender, diversity, and inclusion in our staff, without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic.