Christian Mollière
Just finished obtaining a M.Sc. in Aerospace Engineering at the University of Stuttgart.
Particular focus on numerical modelling, machine learning and software engineering.
Currently designing & implementing system software for robotics at Franka Emika in Munich.
Completion of semester courses on non-linear optimisation & neural networks.
Hands-on experience with modern machine learning frameworks. Application of bayesian-, generative and discriminative modelling in various projects.
Examples include uncertainty quantification for image segmentation in earth observation and time-series regression for wind forecasting.
Hands-on experience in developing embedded firmware for the multiMIND payload at Thales Alenia Space and the robotic ROACH2
research rover. Successful deployment of image classifiers for manufacturing quality control, design of database APIs in Javascript and Python for
domain-based system modelling and mechanical integration testing of solar array assemblies.
Experience
Software Engineer
Design & development of safety-critical system software for a robotic system based on a dissimilar hardware architecture.
Master's Thesis
Analysis of in-orbit radiation effects on hardware. Design & Implementation of embedded software using a real-time operating kernel in C mitigating radiation effects on COTS hardware components for a payload computer flying on the EIVE satellite.
Research Software Engineer
Design of a transpiler for the EOQ2 language, as well as implementation in Python and Javascript. It is being developed for procedural generation of avionic system designs at the Institute of Aircraft Systems.
Head of Software Division
Supporting the KSAT student team during the ROACH2 project. ROACH2 was a DLR/ESA REXUS experiment aiming to build a rover demonstrator that used electro-static adhesion to drive on conductive surfaces in a micro gravity environment.
Bachelor's Thesis
System identification of the SOFIA telescope structure to estimate in-flight image jitter. Deployment of polynomial models and neural networks based on accelerometer data. Support of the upgrade engineering team of the SOFIA project at NASA Ames Research Center.
Internship
Working on satellite integration; planning, execution and evaluation of shaker, acoustic and EMV tests. Development of computer vision pipeline, hardware and software, to control manufacturing processes. Software development in Python using OpenCV and Tensorflow; Deployment of convolutional neural networks.
Internship
Mandatory internship as a part of my studies. Introduction to the basics of metal processing such as using a lathe, milling machines and welding. Its purpose was to develop a better understanding of what kind of constructions are manufacturable.
Motion Designer
Creating 2D & 3D animation, editing video footage and supporting video and photography shoots.
Education
Universität Stuttgart
Focusing on avionics, control engineering, embedded software and machine learning.
Universitat Politècnica de València
Completed courses on non-linear optimisation & neural networks.
Universität Stuttgart
Finished with my thesis on "Development of a MIMO model describing image jitter based on acceleration measurements along the optical path of the SOFIA telescope".
Projects
Skills
- Deutsch
- English
- Español
Interests
Always seeking for new endeavours led me to become a passionate climber and highliner.
I love to use the energy of nature and the great outdoors to fill up my batteries.
Accompanying these activities I started filmmaking already when I was young,
enjoying videography to this day.
You may find some of my work here.
Awards & Certifications
- Scholarship, Baden-Württemberg STIPENDIUM, October 2017 - January 2018
- Scholarship, Herrmann-Reissner-Stipendium, 2017
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