opportunità di lavoro
Due Posizioni PhD all’Università di Modena e Reggio Emilia

Segnaliamo due posizioni PhD presso il Laboratorio di Ricerca Idrologica dell’Università di Modena e Reggio Emilia per due progetti:

  • Metodi di analisi del terreno per la partizione fisicamente significativa nella modellazione idrologica distribuita;
  • Calcolo ad alte prestazioni della propagazione del flusso superficiale a due dimensioni in sistemi di drenaggio complessi utilizzando nuovi metodi numerici indipendenti dalla mesh.

Per entrambi i progetti, il termine ultimo per presentare la domanda formale è il 17 Novembre 2022 alle ore 13:00, la data di inizio è fissata al 1° Gennaio 2023 e il contratto, a tempo determinato, avrà durata di 3 anni. Vi alleghiamo i bandi sia in lingua italiana, sia in lingua

https://aisam.eu/wp-content/uploads/2022/10/INTERNET_Bando-XXXVIII_BANDO-4.pdf

https://aisam.eu/wp-content/uploads/2022/10/INTERNET_CallPhDEnglishXXXVIII_BANDO-4.pdf

Maggiori info e dettagli in basso.

We are looking to fill 2 PhD positions, University of Modena and Reggio
Emilia (Italy), for two projects: 
1.     New terrain analysis methods
for physically meaningful terrain partitioning in distributed hydrologic
modeling

2.     High-performance computing of 2D surface flow propagation in
complex drainage systems by using new mesh-independent numerical methods

 ---1 PhD Position at University of Modena and Reggio Emilia, Modena,
Italy
Advisor: Prof. Stefano Orlandini
Co-advisor: Prof. Giovanni Moretti
Title: New terrain analysis methods for physically meaningful terrain
partitioning in distributed hydrologic modeling

Our mission: The Hydrologic Research Lab (www.idrologia.unimore.it [1])
led by Prof. Stefano Orlandini at UNIMORE (University of Modena and
Reggio Emilia, Modena, Italy) is committed to discovery science and
solution science in the areas of flood risk management and sustainable
use of water resources. The UNIMORE Hydrologic Research Lab Is currently
looking for a PhD student to investigate surface-subsurface flow
interactions by developing new terrain analysis methods for physically
meaningful terrain partitioning. The new methods will be used to
understand and predict complex topographic structures and
surface-subsurface flow propagation in natural and man-altered drainage
systems. Surface-subsurface flow models based on physically meaningful
unstructured terrain partition are significantly more accurate and
computationally efficient than existing model based on regular grids.
These models will therefore make it possible the investigation of
surface flow processes at spatial and temporal scales that are still
poorly explored. As a PhD student you will have the opportunity to
further current understanding in this field through a combination of
data analysis, fieldwork, and modeling. Specifically, high-resolution (1
m or less) topographic data based on lidar surveys, FORTRAN programming,
and high-performance computing will be used in the proposed PhD project.


Main duties and responsibilities include:

·      Perform original research in the area of hydrology and high
performance computing.

·      To lead and contribute to publications for high-impact journals.

·      Contribute to broad Lab activities (including co-supervision of
MSc students).

 Your profile:

·      A MSc in Civil/Environmental Engineering, Physics, Math

·      Strong interest in catchment hydrology and geomorphology.

·      Experience with mathematical/numerical modeling and analysis of
large datasets.

·      Creative, enthusiastic, and willing to learn.

·      Self-motivated and have a sense for scientific novelty.

·      Written and oral communication skills in English.

·      Experience with scientific writing is valued.

We offer:

·      A stimulating working environment at the UNIMORE Department of
Engineering Enzo Ferrari.

·      Competitive salary and excellent educational conditions.

·      Opportunity to perform state-of-the-art research in a dynamic
scientific institution.

·      Opportunity to undertake a 6-month visit in some non-Italian
university or research center.

Application deadline: 17 November 2022, 13:00 CET.

Start date: 1 January 2023.

Work rate: 100%

Duration: 3-year fixed-term contract.

Contact: Interested applicants may want to send the following documents
(preferably in a single pdf) to stefano.orlandini@unimore.it, by 12
November 2022.

·      A brief CV and contact details of 2–3 references

·      A brief letter of motivation/interest in the project

·      Grades from master and bachelor studies

Application: The call for the formal application (deadline: 17 November
2022, 13:00 CET) is provided as attachment.

 --1 PhD Position at University of Modena and Reggio Emilia, Modena,
Italy
Advisor: Prof. Stefano Orlandini
Co-advisor: Prof. Giovanni Moretti
Title: High-performance computing of 2D surface flow propagation in
complex drainage systems by using new mesh-independent numerical methods

Our mission: The Hydrologic Research Lab (www.idrologia.unimore.it [1])
led by Prof. Stefano Orlandini at UNIMORE (University of Modena and
Reggio Emilia, Modena, Italy) is committed to discovery science and
solution science in the areas of flood risk management and sustainable
use of water resources. The UNIMORE Hydrologic Research Lab Is currently
looking for a PhD student to investigate surface flow propagation by
developing new mesh-independent numerical methods. New methods will be
used to understand and predict surface flow at all the spatial scales
and surface flow propagation in natural and man-altered drainage
systems. Physically meaningful unstructured terrain partition increases
both accuracy and computational efficiency of existing models by making
it possible the investigation of surface flow processes at spatial and
temporal scales that remain poorly explored. There is, however, a need
for mesh-independent numerical methods that can describe surface flow
propagation over wide range mesh cell sizes. The proposed research
project will focus on the development and validation of these numerical
methods over mountain and lowland terrains, over a wide range of spatial
and temporal scales. As a PhD student you will have the opportunity to
further current understanding in this field through a combination of
data analysis, fieldwork, and modeling. Specifically, high-resolution (1
m or less) topographic data, FORTRAN programming, and high-performance
computing will be used in the proposed PhD project.

Main duties and responsibilities include:

·      Perform original research in the area of
hydrology/geomorphology.

·      To lead and contribute to publications for high-impact journals.

·      Contribute to broad Lab activities (including co-supervision of
MSc students).

Your profile:

·      A MSc in Civil/Environmental Engineering, Physics, Math.

·      Strong interest in catchment hydrology and/or geomorphology.

·      Experience with mathematical/numerical modeling and analysis of
large datasets.

·      Creative, enthusiastic, and willing to learn.

·      Self-motivated and have a sense for scientific novelty.

·      Written and oral communication skills in English.

·      Experience with scientific writing is valued.

We offer:

·      A stimulating working environment at the UNIMORE Department of
Engineering Enzo Ferrari.

·      Competitive salary and excellent educational conditions.

·      Opportunity to perform state-of-the-art research in a dynamic
scientific institution.

·      Opportunity to undertake a 6-month visit in some non-Italian
university or research center.

Application deadline: 17 November 2022, 13:00 CET.

Start date: 1 January 2023.

Work rate: 100%

Duration: 3-year fixed-term contract.

Contact: Interested applicants may want to send the following documents
(preferably in a single pdf) to stefano.orlandini@unimore.it, by 12
November 2022.

·      A brief CV and contact details of 2–3 references

·      A brief letter of motivation/interest in the project

·      Grades from master and bachelor studies

Application: The call for the formal application (deadline: 17 November
2022, 13:00 CET) is provided as attachment.