Niels Schlegel

Robot/AI SW Engineer and PM for Research Customers at F&P Robotics

Niels Schlegel has a diverse work experience in various roles and industries.

Niels is currently working as a Robot/AI SW Engineer and PM for Research Customers at F&P Personal Robotics since October 2021.

In addition, they are a Trainer at Youth Intelligence Agency since October 2021.

Prior to these roles, Niels pursued their 2nd Master Studies in Robotics, Cognition, and Intelligence at Technische Universität München from October 2019 to February 2023.

Niels also worked as a Control Optimization specialist at Devanthro GmbH - the Roboy Company from April 2021 to June 2021.

Before that, Niels worked as a Consultant for Systems Engineering, Agile, and Innovation at 3DSE Management Consultants GmbH from September 2016 to October 2019.

Niels also gained experience as a Werkstudent Vertrieb Conveyor Systems at EngMec GmbH from April 2013 to August 2016.

Furthermore, they worked as a Student Assistant for Sustainability in Production Facilities at inspire AG from September 2014 to September 2015.

Niels also worked as a Student Assistant at TU Braunschweig from January 2011 to September 2014.

Niels completed an Ingenieurpraktikum at Festo Didactic GmbH from September 2012 to February 2013 and a Betriebswirtschaftliches Praktikum at Siemens AG in August 2010.

Niels Schlegel completed their Bachelor of Science (B.Sc.) in Wirtschaftsingenieurwesen Maschinenbau from Technische Universität Braunschweig in the years 2009 to 2013. Niels then pursued a Master of Science (M.Sc.) in the same field and institution from 2013 to 2015.

In 2014, Niels also studied at ETH Zürich, but the degree and field of study are unspecified.

Continuing their academic journey, Niels attended the Technical University of Munich from 2019 to 2022 to pursue a Master of Science (M.Sc.) in Robotics, Cognition, and Intelligence. The specific field of study is not mentioned.

Outside of their formal education, Niels acquired a certification in Convolutional Neural Networks from Coursera in January 2020.

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