Innovative Training Network
Marie Sklodowska-Curie
DyVirt
DyVirt
is a European Innovative Training Network (ITN) funded by the European
Commission’s Horizon 2020 Marie Skłodowska-Curie programme. The scientific aim
of DyVirt is to radically improve the level of trust that can be attributed to
virtual models of the dynamic behaviour of engineering structures by augmenting
models with data and advanced uncertainty analysis. These new developments will
be implemented as a series of new verification and validation methods, with
applications focused primarily on the wind energy sector.
We are seeking an Early-Stage Researcher (ESR
8) to join the System Dynamics Laboratory (SDLab) in the Department of
Mechanical Engineering (www.mie.uth.gr)
of the University of Thessaly (www.uth.gr),
Greece. The position has a duration of 36 months and can lead to a PhD
degree. The successful candidate must register for the PhD program in the
Department of Mechanical Engineering at the University of Thessaly. The
earliest starting date is September 2018.
Eligibility Criteria: The applicant may be of any
nationality. The applicant shall at the
time of recruitment be in the first four years of his/her research career and
have not been awarded a doctoral degree. The applicant must not have resided or
carried out his/her main activity in the country of the host institute for more
than 12 months in the 3 years immediately prior to the recruitment.
POSITIONS
ESR 8 - PhD
Position: Development of Bayesian
Optimal Experimental Design (OED) Tools (LINK)
Application Process: Applicants for the
open position ESR 8 should submit by email to Professor Costas
Papadimitriou (costasp@uth.gr) the following:
- detailed CV
- academic transcripts
- at least two names for academic references (with telephone numbers
and email addresses)
- a motivation letter (1 to 2 pages max)
- electronic copies of academic diplomas and certificates
The application deadline is June 27, 2018.
However, if a suitable candidate is not found the application process will be
open until the position is filled. It is not guaranteed that
applications received after June 27, 2018 will be evaluated.
Contact Information: For more
information you may contact Costas Papadimitriou, Professor of Structural
Dynamics, Department of Mechanical Engineering, University of Thessaly, Email: costasp@uth.gr, Tel: (+30) 2421074006.
The Hosting Group: The Department of Mechanical Engineering (DME) (http://www.mie.uth.gr)
of the University of Thessaly (http://www.uth.gr)
is involved in the DyVirt project. Within the DME, the research units “Systems
Dynamics Laboratory (SDLab)” and “Laboratory of Mechanics and Strength of
Materials (LMSM)” will participate to the DyVirt network. The SDLab is
performing internationally leading research on data-driven uncertainty
quantification in engineering science. SDLab research expertise include:
probabilistic modeling, Bayesian inference, optimal experimental design,
structural identification, structural health monitoring, structural
reliability, design optimization under uncertainty. A wide range of
applications is covered, including mechanical, structural and civil engineering
systems, as well as smart infrastructure networks (e.g. transportation and
water distribution networks). Through collaborations with international
research groups in Europe and USA, members of SDLab (http://www.mie.uth.gr/labs/sdl) are also
involved in research related to data-driven modeling and uncertainty quantification and propagation in the areas of
molecular dynamics, nanotechnology, computational fluid dynamics, and recently
in biomechanical/biological systems (e.g. multi-scale modelling of muscle
tissues, epidemic spread on networks, optimal sensor cell distribution in fish
lateral line), impacting developments in the broader field of data-driven
simulation-based engineering and life sciences. The research expertise in LMSM
include: computational mechanics; continuum mechanics; biomechanics.
