Rua Waldemar F. da Silva- 144, Caxambu
Petrópolis/RJ -
Tel.: (-
E-mail:-LinkedIn: https://nl.linkedin.com/in/petter -eirik-smit
Petter Eirik Smit
Synopsis
Aerospace engineer (age 30) with a specific interest in data-driven design and machine learning
applications, multi-faceted and interdisciplinary research and the implementation of continuous
improvement and process optimization. Design (DFSS) experience for conceptual software and prototype
development.
Formal education
• VU Amsterdam, BSc. Medicine September 2008 – April 2011
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TU Delft, BSc. Aerospace Engineering September 2011 – August 2014, BSc obtained
TU Delft, MSc. Aerospace Engineering September 2014 – December 2016, MSc obtained
Job Experience
DAF Eindhoven, Holland
On Board Diagnostics design engineer, May 2017 – May 2019.
Negotiate requirements with internal (directly) and external (indirectly) stakeholders. Use data
driven design and analysis of physical systems to design new and improved diagnostic algorithms
and build and evaluate prototypes. Write and hand over the specifications of the new diagnostic
algorithm, after which I am still responsible for all levels of implementation. Innovations include
the use of machine learning in diagnostic design and intensifying the statistical standards of
diagnostic design. One of the diagnostic concepts has a patent pending for DAF. [1]
Technologies & methods: Matlab, Simulink, DNG, scrum, Kanban, automotive SPICE, DFSS.
Project Experience
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Bachelor Thesis: Designing a modular flying car.
Designed and presented a competitive, modular flying carver type vehicle with a range of 1000
kilometers and a cruise speed of 200 knots. The final concept combines the advantages of road
and flying vehicles into one design. The project was carried out by a group of 10 aerospace
engineering students during ten weeks. The same configuration was used (independently) for a
reconnaissance aircraft in South Africa (MWARI) with a similar mission profile.
MSC Internship: Re-design of a water powered pump paddle.
Designing an alternative blade as a competitor to the current 4th generation of water wheel blades
in an award-winning start-up. The project spanned 4 months and required conceptual design,
design of manufacturing, prototyping and detailed design.[2]
Master Thesis: Effect of reinforced compartmented healing fibres on glass fibre composites: a
compression after impact test analysis.
Over the course of seven months a new class of possible self-healing materials was manufactured,
characterized and tested. Both the structural and materials departments will continue research
and expect to partially incorporate the results in future publications. The project involved
extensive project management, experimental and materials design and literature studies. [3]
Technical skills
• CAD: SOLIDWORKS, CATIA
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Programming: MATLAB, Simulink, Java, Python
Data analysis, machine learning and data-driven design professional experience
Diagnostics design, software design and machine learning
DFSS (Design For Six Sigma) professional experience
Languages
• Dutch Native speaker
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English Fully fluent
Portuguese Advanced level
References
[1] John de Graaf, Supervisor On-Board Diagnostics group DAF, Hugo van der Goeslaan 1, 5643 TW
Eindhoven. Tel: -, Email:-[2] Fred Henny Co-Founder & Technical Director of aQysta, Molengraaffsingel- JD Delft,
Tel: -, Email:-[3] Dr. Santiago Garcia Espellargas Ass. Prof. Novel Aerospace Materials (NovAM) group Department of
Aerospace Structures and Materials Kluyverweg 1 2629 HS Delft, the Netherlands,
Tel: -, Email:-