Science & Advanced Engineering
/Learn at the frontier
Materials Informatics Intern
Data-driven materials discovery — applying machine learning to materials property data to narrow the search space before experiment.
Engagement
Internship
Full-time and on-site at our campus. Structured, hands-on mentorship. Remote only in rare, pre-approved cases.
Scope of role
Contribute to live projects. Shadow senior practitioners. Build a portfolio that matters.
Please note this is an unpaid internship — the offer is real work, mentorship and experience at the frontier, not a stipend.
01 — The role
Why this role exists at EduRankAI
EduRankAI is developing next-generation technologies in Artificial Intelligence, Education Technology, Research, Product Engineering, and Digital Innovation. Data-driven materials discovery — applying machine learning to materials property data to narrow the search space before experiment.
02 — The work
What you will own
- 01 Support building ML models on materials property datasets.
- 02 Assist in feature engineering for materials descriptors.
- 03 Research materials-informatics methods and open databases.
- 04 Document model performance and applicability domain honestly.
- 05 Present findings to the research team.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → Students pursuing undergraduate or postgraduate programs from any discipline are encouraged to apply; students from the disciplines listed under Specialisation are especially encouraged.
- → Available for a full-time, 6-day-per-week internship for the stated duration.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
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