Industry Value Translation Lab (2026 Edition)
Academic strengths → industry-recognised value
An add-on programme for universities and educational institutions in an AI-accelerated world.
What is Reality
AI sets the baseline. “Good enough” output is easier than ever.
What students now need — and what employers trust — is the human layer above it:
Judgment • Synthesis • Decision quality • Clear value communication
Many graduates don’t lack capability.
They struggle to translate their capability into language industry recognises — especially when the old proof (grades, publications, titles) doesn’t land the same way.
This lab installs a simple, repeatable method students can reuse across roles and markets:
Skills → Evidence → Value proposition
Who This is For
This lab is designed for:
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Graduate schools / doctoral schools supporting MSc, PhD, postdoc career transition
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Career services looking for a high-signal module that complements existing support
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Programme directors seeking stronger employability outcomes in STEM and life sciences
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International offices supporting globally mobile students
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Admissions/recruitment teams wanting a credible “career advantage” differentiator
This lab is not intended to replace any existing training or programme elements.
I see it as an added-value installation layer—a practical module that strengthens what’s already working in your curriculum, and helps students translate their capability into industry-recognised language and proof.
What Makes This Different
Most career workshops teach tips.
This lab installs a translation method students can reuse for any role, market, or tool shift.
Students learn to translate:
Skills → Evidence → Value proposition
So they can answer, clearly and confidently:
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“What do I bring that transfers?”
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“How do I prove it?”
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“How do I say it in industry language?”
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“What is my A-level signature above the AI baseline?”
Two Tracks
Track A — PhD/Postdoc Transferable Strengths
For PhDs and postdocs moving from academia into industry roles (R&D, PM, strategy, consulting, VC, etc.).
Students learn to name what transfers, build strong evidence stories (problem → constraints → outcome), and speak their value with confidence.
Track B — Student Employability Advantage (AI Era)
A future-ready employability track universities can use as a visible value-add.
Students define their human edge above the AI baseline and communicate it clearly in applications and interviews.
What the Institution Gains
Institutions typically use this work to support:
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Stronger employability narratives and student confidence
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Higher-quality applications and interviews
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Improved student satisfaction with career support
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A modern, credible recruitment value-add (“AI era readiness”)
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A repeatable framework career teams can integrate into existing services
How to Start
Start with a scoping call (30 minutes)
We clarify your student audience, the context, and what “better” should look like.
After the call, I’ll propose the lightest installation that creates real impact — tailored to your context.
Explore Fit
If you’re designing career support for MSc/PhD/postdoc talent — or looking for a credible employability differentiator in the AI era — let’s explore whether this lab fits your context.
Start with a short scoping call (30 min).
We’ll clarify:
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The student group you want to support
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The friction points you’re seeing (translation, confidence, industry language, direction)
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What “better” should look like after the programme
After the call, you’ll receive a concise proposal with the lightest format that creates real impact.