Biography

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

Interests

  • Membranes
  • Advanced materials
  • Machine learning
  • Flow Photochemistry

Education

  • 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

Experience

 
 
 
 
 

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”
 
 
 
 
 

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 undergraduat 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

Projects

Membranes

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.

Promise

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).

AMD4energy

Accelerated materials development for Advanced Energy Applications

Machine Learning

This is a preliminary project exploring the potential for Machine Learning in Chemical Engineering research. It is a collaboration with Alexander Stroh and Pascal Friederich. In our preliminary work, we have shown that it is possible to create a dataset of detailed computation fluid dynamic simulations (CFD) for fluid flow through a two-dimensional channel with a range of different, largely random, pertubations to the wall structure.

Contact

  • bradley.ladewig@kit.edu
  • +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.