Cohort applications open

Digital Forensics Internshipby MAF Labs

A hands-on internship that puts you on real (anonymized) forensics cases under mentor supervision. Train. Defend. Investigate.

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This is a paid internship programme — not a job offer. The internship is fully remote. A verifiable certificate is issued after the final assessment, along with (where applicable) a portfolio-grade case study. Successful completion does not guarantee employment with MAF Labs or any partner.

About the programme

What is the MAF Labs Digital Forensics Internship?

An internship at MAF Labs is a hands-on professional learning experience that puts you on real (anonymized) forensics cases under mentor supervision. You ship portfolio-grade deliverables, build the technical skills the field actually demands, and graduate with the chain-of-custody discipline most engineers learn too late.

Each cohort gets oriented to the lab's tooling, paired with a senior investigator, and works through real evidence — not slide decks. You'll do bit-perfect acquisitions, run extractions, write reports that hold up under cross-examination, and present findings to a technical-and-executive audience.

Why join the program

Build the parts of forensics most curricula skip.

  • 01

    Real cases, not slide decks

    You work on (anonymized) artifacts from active cases. Every deliverable is portfolio-grade.

  • 02

    1:1 mentor pairing

    Each intern is paired with a senior MAF Labs investigator. Weekly 1:1s, async review, code/extract walkthroughs.

  • 03

    Chain-of-custody first

    We teach the rigor most courses skip. Hash everything. Log everything. Prove everything.

  • 04

    Multi-surface artifacts

    Disk, memory, mobile, network captures, IoT firmware, VLSI tamper. You touch more than one surface during the cohort.

  • 05

    Certificate + portfolio

    Verifiable certificate of completion + a written-up case study you can show employers.

  • 06

    Path to placement

    Standout interns are considered for full-time roles or referred into our partner network.

Eligibility

Who should apply.

We're looking for technically curious students and recent graduates who can commit time to the cohort.

  • Currently enrolled in or recently graduated from B.Tech / M.Tech / B.Sc / M.Sc / BCA / MCA — typically Computer Science, IT, Electronics, or a related field.
  • Comfortable on the command line and familiar with at least one programming language (Python, C, or JavaScript preferred).
  • Available for the full cohort duration (1, 3, or 6 months — pick on the form), ~20 hours/week minimum.
  • Personal laptop with admin/sudo access. Stable internet for remote sessions.
  • Willingness to sign a confidentiality agreement before touching any case material.

How it works

From application to first case.

  1. Register + accept terms

    Fill the application form. Accept the cohort terms + privacy policy. Takes ~5 minutes.

  2. Submit UPI payment + screenshot

    Programme fee paid via UPI QR. Upload a payment screenshot when prompted. Reference number is generated for you.

  3. Admin verification

    We verify the payment (within 48 hours) and confirm your seat. You'll receive an approval email.

  4. Onboarding + first case

    Cohort kickoff session, mentor pairing, lab tooling walkthrough. First real work lands by the end of week one.

Cohort timeline + programme details

Key dates

Cohort timeline.

Applications open
TBD
Application deadline
TBD
Cohort start
TBD
Available durations
1 / 3 / 6 months

Placeholder schedule — finalized before applications close.

Programme details

What's included.

Programme fee
₹3,500 (placeholder)
Durations
1, 3, or 6 months (~20 hours/week)
Format
Remote-first with optional in-person sessions
Mentor ratio
1:1 — paired with a senior investigator
Deliverables
Portfolio-grade case study + verifiable certificate
Cohort size
Capped per intake to preserve mentor ratio

FAQs

Common questions.

  • What technical background do I need?

    You should be comfortable on the command line and able to read/write code in at least one language. Specific forensics tooling is taught in-cohort — we don't expect prior experience with FTK, Volatility, Ghidra, etc. If you've completed a CS/IT/Electronics degree (or are about to), you're in scope.

  • Is this remote, in-person, or hybrid?

    Remote-first. We run weekly synchronous sessions (mentor 1:1, cohort review) and async work in between. In-person sessions are optional and announced in advance.

  • Do I get a certificate?

    Yes — verifiable certificate of completion at the end of the programme. You also leave with a written case study you can show employers.

  • What if I need to cancel?

    Full refund within 7 calendar days of seat approval. Email support@maflabs (placeholder) and we'll process the refund manually via UPI.

Ready?

Apply for the next cohort.

Application takes ~5 minutes. We verify within 48 hours.

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