Manuel Gößwein

Research Assistant/Doctoral Candidate

Technical University of Munich•  September 2019 - Present

Design and implementation of a generalized kinetic Monte Carlo framework in modern C++ (including C++20) with interface to Python. Unit-Testing via googletest. Performance Benchmarking via google/benchmark, google/pprof and perf. Documentation via doxygen. Continuous integration for automated integration of code changes into central Git repository.

Graduate Research Assistant

Technical University of Munich•  August 2018 - July 2019

Development of a kinetic Monte Carlo model for the oxygen reduction reaction in PEM fuel cells. Development and implementation of a temporal acceleration scheme for particle transport in kinetic Monte Carlo methods in MATLAB. Analysis, evaluation and visualization of simulation data via MATLAB.

Dual Study Programme Student

Maschinenfabrik Reinhausen•  June 2012 - February 2017

IHK-certified training as mechatronics engineer; overall grade: very good. Cycling through several in-company departments to gain practical work experience. Internship in the departments for power electronics and simulation. Bachelor thesis in the department for fundamental research.

Technische Universität München

Electrical Engineering & Computer Science, PhD•  September 2019 - Present

Simulation of electrochemical systems for energy conversion via kinetic Monte Carlo. Publication of several scientific papers.

Technische Universität München

Electrical Engineering & Computer Science, MS•  April 2017 - January 2020

Specialization on Micro- and Nanoelectronics, overall grade: 1,1. Master’s thesis: »Kinetic Monte Carlo Simulation of the Organic-Electrolyte Interface «.

Fachhochschule Regensburg

Electrical Engineering & Computer Science, BE•  October 2013 - February 2017

Specialization on Electronics, overall grade: 1,3. Bachelor’s thesis: »Frequency-Dependent tan (δ)-Measurements on Mineral Insulating Oil«.