Jan SchmäkeEducation
Hochschule Düsseldorf (HSD)Mar. 2022 - Sep. 2023
M.Sc. in mechanical engineering
Thesis: Hierarchic Refinement and Plasticity Analysis in the Framework of the Finite Cell Method
M.Sc. in mechanical engineering
Thesis: Hierarchic Refinement and Plasticity Analysis in the Framework of the Finite Cell Method
Hochschule Düsseldorf (HSD)Oct. 2018 - Feb. 2022
B.Eng. in mechanical engineering
Thesis: Simulation of Complex Geometries using a Fictitious Domain Approach
B.Eng. in mechanical engineering
Thesis: Simulation of Complex Geometries using a Fictitious Domain Approach
Freie Christliche Gesamtschuleuntil Jun. 2018
General qualification for university entrance
Tested in English, Social sciences, Mathematics and Informatics
General qualification for university entrance
Tested in English, Social sciences, Mathematics and Informatics
Experience
HSD, Researcher in Computational MechanicsSep. 2023 - Present
Investigating novel approaches for linear and non-linear problems in the realm of isogeometric multi-patch analysis and high-order finite element methods.
HSD, Research assistant in Computational MechanicsApr. 2022 - Sep. 2023
Worked on Finite Element extensions, including novel local refinement techniques and fictitious domain methods in the context of high-order approaches.
Worked on Finite Element extensions, including novel local refinement techniques and fictitious domain methods in the context of high-order approaches.
HSD, Student assistant in Machine LearningApr. 2021 - Mar. 2022
Assisted in an industrial research project which had the goal to make proficient predictions with a production-line measurement data using deep autoencoder neural networks. Among other things this included common software engineering tasks in an in-house machine learning framework.
Assisted in an industrial research project which had the goal to make proficient predictions with a production-line measurement data using deep autoencoder neural networks. Among other things this included common software engineering tasks in an in-house machine learning framework.
e-Traxx Düsseldorf, Aerodynamics and CAEOct. 2019 - Feb. 2023
Participated in the university Formula-Student team for three and a half years. Worked on a verity of tasks including: design and manufacturing of mechanical parts, design and simulation of aerodynamic components and vehicle-parameter controlled estimations of lap times through custom simulation software.
Participated in the university Formula-Student team for three and a half years. Worked on a verity of tasks including: design and manufacturing of mechanical parts, design and simulation of aerodynamic components and vehicle-parameter controlled estimations of lap times through custom simulation software.
Teaching
HSD, Introductory development projectSep. 2022 - Feb. 2023
Offered a course for first semester students, in which the participants got a practical introduction in the workflows and basics steps of mechanical engineering. During the course, the students designed and built a simple measurement setup for the aerodynamic evaluation of airfoils.
Offered a course for first semester students, in which the participants got a practical introduction in the workflows and basics steps of mechanical engineering. During the course, the students designed and built a simple measurement setup for the aerodynamic evaluation of airfoils.
HSD, Tutor for InformaticsOct. 2019 - Feb. 2021
Informatics I & Informatics II
The two listed classes provide an introduction in procedural- and object-oriented programming with C and Java. As a tutor I mainly supported the labs by giving technical advice to the students.
Informatics I & Informatics II
The two listed classes provide an introduction in procedural- and object-oriented programming with C and Java. As a tutor I mainly supported the labs by giving technical advice to the students.
Skills
Software
CAD: Siemens NX, Creo 3.0, Autodesk Inventor, OnShape and Fusion 360
CAE: ParaView, Star CCM+, SimScale, ANSYS, Simcenter 3D and MATLAB Simulink.
Office: LaTeX and MS-Office
OS: GNU/Linux, macOS and MS-Windows
CAD: Siemens NX, Creo 3.0, Autodesk Inventor, OnShape and Fusion 360
CAE: ParaView, Star CCM+, SimScale, ANSYS, Simcenter 3D and MATLAB Simulink.
Office: LaTeX and MS-Office
OS: GNU/Linux, macOS and MS-Windows
Programming
Proficient in: Java, Octave/MATLAB
Familiar with: C, C++, Python
Proficient in: Java, Octave/MATLAB
Familiar with: C, C++, Python
Languages
German (native), English B2
German (native), English B2
Jan Niklas Schmäke Copyright © 2024. All Rights Reserved.