Slides and recording from the webinar “Transitioning from Academia to Industry – September 2026 Webinar”.
Key take-home messages:
- Translate your academic experience into language that industry hiring managers understand – highlight your transferable skills, including problem-solving, project management, research strategy and communication
- Make your CV work for industry – learn how to move beyond a publication-focused CV and clearly demonstrate your skills, experience and impact
- Activate the network you already have – discover how your existing academic connections can help you explore opportunities in industry without starting from scratch
- Prepare for industry interviews – understand how industry interviews differ from academic ones and learn how to approach them with confidence
- Support your researchers beyond academia – discover how experienced coaches and industry professionals can complement your existing researcher development programme
About our speakers:
Judy Mielke, PhD
Founder of ScientifyResearch, Judy Mielke brings 15+ years of experience in academic publishing and research funding. She helps researchers refine their writing, choose the right journals, and develop funding strategies with a global perspective.
Aleena Baby, PhD
Dr. Aleena Baby is a physicist turned machine learning engineer. After a PhD in computational astrophysics at the University of Cologne, modelling star formation, she moved into industrial AI and now leads the development of PorosAI, a physics-informed ML system that predicts casting defects at the design stage, at ACCESS e.V. in Aachen. Through Academia to Industry, she helps STEM PhDs make the same move into AI and data roles.
Jennifer Polk, PhD
Jennifer Polk, PhD, is a career coach, educator, and recognized expert in PhD careers. She regularly facilitates professional development workshops and delivers keynote presentations at institutions across the US, Canada, and internationally. Jen created her PhD Career Clarity Program to help PhDs navigate their career paths with confidence.
