Bradley Ladewig is Group Leader for Photochemistry in the Institute for Micro Process Engineering (IMVT) at the Karlsruhe Institute of Technology.


  • Membranes
  • Advanced materials
  • Machine learning
  • Flow Photochemistry
  • CO2 Electroreduction
  • Sustainable hydrogen


  • PhD in Chemical Engineering, 2006

    The University of Queensland

  • Bachelor of Engineering (Chemical) Hons I, 2002

    The University of Queensland

  • Graduate Certificate in Higher Education, 2010

    Monash University



Group Leader

Karlsruhe Institute of Technology

Nov 2018 – Present Karlsruhe, Germany

Responsibilities include:

  • Leading the Photochemistry research group
  • Conceiving new projects, applying for funding
  • Co-teaching “Additive Manufacturing for Process Engineering”

Visiting Professor

Imperial College London

Nov 2018 – Present London, UK

Senior Lecturer in Chemical Engineering

Imperial College London

May 2015 – Nov 2018 London, UK

Responsibilities included:

  • Leader of personal research group, co-founder of the Barrer Centre
  • Developed novel membrane synthesis and characterisation techniques, including for photoresponsive materials
  • Taught various undergraduate and postgraduate courses

Associate Professor of Chemical Engineering

Monash University

Jan 2009 – May 2015 Melbourne, Australia

Postdoctoral Research Fellow

The University of Queensland

Sep 2007 – Dec 2008 Brisbane, Australia

Postdoctoral Research Engineer

École nationale supèrieure des industries chimiques (ENSIC)/CNRS

Jun 2006 – Aug 2007 Nancy, France



Membrane research has been the core interest of the Ladewig Group since first forming an independent research group at Monash University in 2009. The main focus of the work now is on metal organic framework membranes.


The Promise project is a DFG funded Research Unit, and is a collaboration with Uni Freiburg and KIT Karlsruhe. Bradley Ladewig is the leader of Project 3 (TP3) on photochemical reactors.


Accelerated materials development for Advanced Energy Applications

Machine Learning

This work is now funded by the DFG as part of the Priory Programme 2331: Machine Learning in Chemical Engineering This project explores the potential for Machine Learning in Chemical Engineering research.


  • +49 721 608 26995
  • Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344
  • Institute for Micro Process Engineering is located in building 605. Register at security at the south entrance to KIT Campus North.