Lorenzo Gentile (left) and Prof. Bartz-Beielstein
Lorenzo Gentile, who will start working in November as a PhD student in the UTOPIAE project, visited Gummersbach.
UTOPIAE is a European research and training network looking at cutting edge methods bridging optimisation and uncertainty quantification applied to aerospace systems. The network will run from 2017 to 2021, and is funded by the European Commission through the Marie Skłodowska-Curie Actions of H2020.
The network is made up of 15 partners across 6 European countries, including the UK, and one international partner in the USA, collecting mathematicians, engineers and computer scientists from academia, industry, public and private sectors.
To train, by research and by example, 15 Early Stage Researchers in the field of uncertainty quantification and optimisation to become leading independent researchers and entrepreneurs that will increase the innovation capacity of the EU.
To equip the researchers with the skills they will need for successful careers in academia and industry. To develop fundamental mathematical methods and algorithms to bridge the gap between Uncertainty Quantification and Optimisation and between Probability Theory and Imprecise Probability Theory for Uncertainty Quantification to efficiently solve high-dimensional, expensive and complex engineering problems.
The UTOPIAE (Uncertainty Treatment and OPtimisation In Aerospace Engineering) Marie Sklodowska Curie Research Training Network is currently recruiting 15 Early Stage Researchers to work in the field of Uncertainty Quantification and Optimisation. The list of the available positions and main rules to apply follow below. Recently graduated or graduating students who are interested, find further information on the page http://utopiae.eu/employment-opportunities/
All applications should be emailed to firstname.lastname@example.org by Sunday, 16 April 2017. Continue reading
Across all fields of Engineering Sciences, many design problems are multidisciplinary in nature. An optimal design can be achieved if all the disciplines are concurrently considered in an integrated approach. In MDO the whole is more than the sum of the parts, therefore the optimum of the integrated problem is superior to the design found by optimizing each discipline independently. However, including all disciplines simultaneously significantly increases the complexity of the problem. The optimal design of each discipline can be in itself a hard and computationally intensive optimization problem. In addition, the definition of the level of fidelity of the model for each discipline, the interexchange of variables of different nature (the output of one discipline can become the input to another) and the increased dimensionality, contribute to make the problem considerably harder. The largest number of applications is in the field of aerospace engineering, such as aircraft and spacecraft design in which aerodynamics, structural analysis, propulsion, control theory, and economics are integrated in a single optimization process. But many techniques have been developed and applied in a number of different fields, including automotive design, naval architecture, electronics, computers, and electricity distribution. More: http://eurogen2017.etsiae.upm.es/minisymposia/
The deadline to submit your abstract for the sessions on “Uncertainty based Optimization in Engineering” within the framework of the 15th EUROPT Workshop on Advances in Continuous Optimization, Montreal, Canada, 12-14 July 2017, is fast approaching (Abstract submission deadline: March 15, 2017) .
EUROPT website: https://www.gerad.ca/colloques/europt2017/
Special session website: http://utopiae.eu/about/utopiae-training/research/ieee-computational-intelligence-in-aerospace-sciences/ieee-activities/utopiae-activities/
Mit “UTOPIAE – Uncertainty Treatment and OPtimisation In Aerospace Engineering” beteiligt sich die TH Köln zum vierten Mal an einem von der EU geförderten Marie-Curie-Innovations-Ausbildungsprogramm. Mit rund 3.9 Millionen Euro Fördersumme forschen europaweit 15 Doktorandinnen und Doktoranden interdisziplinär an der Optimierung der computergenerierten Konstruktion von Luft- und Raumfahrtzeugen.
Koordiniert von der Strathclyde University in Schottland arbeiten insgesamt 15 Hochschulen, Forschungseinrichtungen und Firmen in Großbritannien, Italien, Belgien, Frankreich und den USA zusammen. Darunter die Stanford University, Airbus Operations GmbH und die Deutsche Luft- und Raumfahrt. Die TH Köln übernimmt dabei Aufgabenbereiche aus der Mathematik und Informatik unter der Leitung der Professoren Dr. Thomas Bartz-Beielstein und Dr. Boris Naujoks von der Fakultät für Informatik und Ingenieurwissenschaften.
Den vollständigen Text der Pressemitteilung finden Sie unter https://www.th-koeln.de/hochschule/utopiae–uncertainty-treatment-and-optimisation-in-aerospace-engineering_41808.php
Local information from TH Köln about the “Uncertainty Treatment and OPtimisation In Aerospace Engineering” (UTOPIAE) project can be accessed online via http://www.gm.fh-koeln.de/utopiae
This project has received funding from the biggest European Union Research and Innovation Programme Horizon 2020 HORIZON 2020 Website