Internship AcademyYou derive the theory, build every method yourself, and defend what you produce — on real breeding problems, with real data, one to one with a mentor. Two weeks to three months, six mentored hours a day, online or in person in Hyderabad.
The stages are the same at every length; the depth is not. Choose a length and see exactly how the days are spent and what you leave with.
Per participant, for the whole internship. The fee depends on the track, the length and who you are, and it is the same online or in person in Hyderabad.
Track
Length
Two or three lectures each morning, theory derived rather than recited. The rest of the day on real genotype and phenotype data, and a discussion clinic to close every topic.
Genomic Selection Mastery cohort in session, Hyderabad.
Interns currently in session, and those who have completed their track.
Nothing here expires when the internship does. The code, the material and the method stay with you.
Every script, dataset, notebook and rendered report in a version-controlled repository of your own — the full history of how you got there, not just the answer.
Slides, tutorials, worked examples and the hand derivations behind every method. Yours to keep, revisit and teach from.
An end-to-end, documented workflow you can point at a new dataset next week — because you built it, you can change it.
A technical report in HTML and PDF, rendered with the PlantNura template, and an oral defence with unscripted questions behind it.
A signed certificate and a personalised recommendation letter, written from what you actually delivered.
A shareable badge for your professional profile, naming the track and the length you completed.
Register your interest and we will tell you when a track opens — and ask what you would like it to cover.
The people who wrote the curriculum are the people in the room every day.
Founder & Lead Scientist, PlantNura
Quantitative geneticist and plant breeder with 6+ years at the International Rice Research Institute, where he led genomic selection programmes and delivered the flagship course “Fundamentals of Genomic Prediction.” Postdoctoral research in quantitative genetics at the Department of Animal Science, University of Nebraska–Lincoln.
Students at BSc, MSc and PhD level, postdoctoral researchers, early-career scientists and professionals who want to work properly with breeding data. You need working knowledge of R — vectors, data frames, writing a function. Undergraduate exposure to experimental design and ANOVA helps but is not required.
Either. Tracks run online, hybrid, or in person in Hyderabad, with the same live daily mentoring in each case. Say which you prefer when you apply.
A laptop that runs R 4.2+ and RStudio. The toolchain is entirely free and open-source — R, CRAN packages, Git and GitHub — and no commercial statistical package or licensed mixed-model engine is used at any point.
Six mentored hours. Two or three lectures in the morning, with theory derived rather than recited; the rest of the day spent working with real data; and a one-to-two-hour discussion clinic to close each topic. A 30-minute mentor check-in opens every teaching day and a written milestone review closes every week.
Every daily lab deliverable is assessed independently. The track ends with a capstone technical report and a 20–30 minute oral defence with unscripted questions. The certificate and recommendation letter reflect what you delivered.
The stages are the same at every length; the depth is not. The shortest runs make one complete pass through the workflow. The one-month track derives every method properly. Two and three months add depth — hybrids, covariance structures, cross prediction — and the three-month track ends with a drafted manuscript with you as an author. Use the length selector on each track to compare.
The three-month lengths end with a drafted manuscript with your name on it, and the Breeding Simulation track in development is built around one. Drafting and submission are within our control; acceptance depends on peer review, and we will not tell you otherwise.
It depends on the track, the length and who you are: see the fees. Undergraduate, MSc and PhD students pay student rates. Rupee fees are before 18% GST; participants joining online from outside India pay in US dollars. Highly talented students may qualify for a free placement — send your CV and say which track you have in mind.
Choose a preferred start month when you apply, and we confirm the dates with you by email. Early applicants choose their own dates.
Choose your track, length and start month, then pay securely online. Early applicants choose their dates.
See the fees and apply