EYIC Activities

EYIC Activities

In occasion of the YIC conference, the ECCOMAS Young Investigators Committee (EYIC, https://www.eccomas.org/comittees/eyic/) is organizing a number of extra online activities for the participants of the conference:

  1. three short introductory courses on recent research topics on July 6
  2. a Career Forum to discuss issues regarding pursuing an academic career on July 6
  3. a panel discussion on research fundings at European level on July 9

The panel discussion on research funding is scheduled within the conference: to participate, just join the session in the same way you would join any other minisymposium of the conference. 

To participate in the threee short introductory courses you should be registered to the conference.

To take part in the Career Forum, since the number of participats is limitated, please register using the link – registration is free of charge. 

Note in particular that registration to the Career Forum is limited to 80 people. If you register to it, please be considerate and commit to your participation.

Short courses

Three short courses are organized the day before the conference (on July 6). The courses will be free of charge and will be oppento all registered participants. The list of courses and the schedule is listed below.

Introduction to Artificial Neural Networks applied Mechanics 


Filippo Gatti


Artificial Neural Networks (ANN) have recently been adopted in many areas of science as a flexible meta-modelling technique. Powered by fast and portable GPU computing, ANN success is mainly due to the possibility to provide real-time prediction of complex physical phenomena, to unveil hidden features and to span unknown multivariate parametric uncertainty. ANN have traditionally been nourished by observed and collected data from real world, as training sample for the intricate deep surrogate model. However, the increasing computational power is rapidly shifting the paradigm towards physics-informed neural network prediction, either by generating the learning space via multi-fidelity numerical simulations, either by conditioning the ANN prediction with numerical simulations.
Therefore, this seminar is intended to provide a gentle introduction to ANN and suggest possible ways to apply it to your scientific problems!

Short CV

Filippo Gatti is lecturer in Mechanics and Civil Engineering at CentraleSupélec, a top ranked engineering school in France, within the Paris Saclay University (France). His main research interests span the field of AI-powered Computational Earthquake Engineering. Filippo holds a joint PhD in Civil Engineering from CentraleSupélec and Politecnico di Milano (Italy), as well as a MSc and BSc from Politecnico di Milano. Filippo has been visiting research in Aristotle University of Thessaloniki (Greece) in 2013 and at Kyoto Disaster Prevention Research Institute (Japan) in 2018.

Date and time:

July 6 at 9:30

Introduction to the Bayesian approach to inverse problems


Aretha Teckentrup 


Uncertainty quantification (UQ) is an exciting, fast growing research area aimed at developing methods to address the impact of parameter, data and model uncertainty in complex systems. In this course, we will focus on the learning of parameters from observations of the response of the system – the inverse problem. The uncertainty in the solution of the inverse problem will be described via the Bayesian statistical approach. Topics discussed in the course will include the following:

– Examples of inverse problems
– Derivation of the Bayesian posterior distribution
– Point estimates and connection to classical regularisation methods
– Sampling methods, in particular Metropolis-Hastings

Short CV

Aretha Teckentrup is currently a Lecturer in the Mathematics of Data Science at the University of Edinburgh. Before moving to Edinburgh in 2016, she held postdoctoral positions at the University of Warwick and Florida State University. She obtained her PhD from the University of Bath in 2013.

Aretha’s research interests are  at  the  interface  of  numerical  analysis,  statistics  and  data  science, with a focus on developing, analysing and implementing methods for efficient uncertainty quantification in complex systems. She has experience in multilevel  sampling  methods, Bayesian inverse problems and Gaussian process regression, among other topics, with applications in geophysics.

Date and time:

July 6 at 11:15

Computational Contact and Interface Mechanics – From the Fundamentals to Mortar Finite Element Methods


Alexander Popp

Course Topics:
  • Challenges of contact problems
  • Nonlinear contact kinematics
  • Constraint enforcement techniques
  • Finite element discretization schemes
  • Introduction to mortar methods
  • Contact and high-performance computing
Short CV

Since 2018 Alexander Popp is Full Professor of Computer-Based Simulation at the University of the Bundeswehr Munich (UniBw M) and Founding Director of the Institute for Mathematics and Computer-Based Simulation (IMCS), which now has around 15 scientific staff members.

He received a Ph.D. in Mechanical Engineering from the Technical University of Munich (TUM) in 2012 for his work on computational contact mechanics and mortar methods. His research interests cover a broad range of topics in computational mechanics with a focus on finite element formulations for solid and contact mechanics, coupled interface and multi-physics problems as well as methods of parallel software development and high-performance computing (HPC), with applications ranging from civil and biomedical engineering to aerospace and manufacturing technologies. In recent years, digital twin technology, machine learning and predictive simulation have emerged as a second field of activity. Alexander’s research helps in reaching maturity of these concepts, primarily for the protection of critical infrastructure (civil and military) within the interdisciplinary research centers dtec.bw and RISK.

Alexander has received several prestigious research fellowships and awards including the ECCOMAS O.C. Zienkiewicz Award for Young Scientists in Computational Engineering Sciences 2018. Several international collaborations have led him to visiting professor and visiting scholar appointments at the University of Tokyo (Japan), Columbia University (USA) and IMT School for Advanced Studies Lucca (Italy). Alexander has served as Secretary General of the German Association for Computational Mechanics (GACM) and Chairman of the Young Investigators Committee of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Since 2020 he is one of the Founding Associate Editors of the new Journal of Theoretical, Computational and Applied Mechanics (JTCAM), which promotes the principles of Open Science in the international mechanics community

Date and time:

July 6 at 14:00

EYIC Career Forum

What is the best way to prepare for the next steps on the career ladder? When is the right time for the next step? Is it possible to make a scientific career on part-time? Is the Tenure Track System suitable for getting the most out of research? Does it suit me and my ideas? Should I have a mentor and how do I find one? Are my family and a university career compatible? 

Are you a doctoral student or postdoc and would like to stay in the academic world? Have you already pondered on some of these questions? Then join us at the EYIC Career Lunch 2021 @ YIC! Discuss your experiences, career strategies and challenges in science with researchers and academics at different career levels. Gain important insights into the academic application process and get tips for your next career steps. Listen on their approach to harmonizing career, leisure and family and find out what they consider key to academic success. 

The EYIC Career Forum will take place previous to the VI ECCOMAS YOUNG INVESTIGATORS CONFERENCE on Tuesday, July 6 at 4pm. The discussion will be focused on pursuing an academic career, and relevant topics include e.g.:

  •  Career strategies and requirements for young researchers
  •  Challenges in the scientific working environment
  •  Compatibility of family and career
  •  Work-life balance
  •  How to prepare for an interview
  •  Scientific proposal writing
  •  …

Confirmed mentors: 

  • Alessandro Reali (Uni. Pavia)
  • Silvia Budday (FAU Erlangen)
  • Olga Mula (Uni. Paris Dauphine)
  • Catherine Powell (Uni. Manchester)
  • Vladislav Yastrebov (CNRS, Mines Paris Tech, Paris)

The event will be online and you will get the chance to meet the mentors in small breakout sessions. The registration is free of charge, but the number of participants is limited to 80, so reserve your seat now by registering at the following link

If you register, please be considerate and commit to your participation.

Finally, please note that the EYIC Career Forum is not meant to serve as a professional promotion activity, nor as a discussion on specific scientific topics.

If you have any further questions, please contact the organizers: Lorenzo Tamellini (CNR-IMATI Pavia), David Kammer (ETH Zurich), Carina Schwarz (University of Duisburg-Essen)