Aerospace engineering

Overview

Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs.

• Work Locations: Italy — ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE

• Work Locations: Sweden — KTH Royal Institute of Technology, Stockholm, 11428, Brinellvägen 8

• Work Locations: Spain — Department of Mechanical Engineering (EM), Terrassa, 08222, Barcelona, Colom, 11

• Work Locations: Croatia — University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, 10000, Unska 3

• Work Locations: Norway — Department of Mechanical and Structural Engineering and Materials Science, Oslo

• Work Locations: Netherlands — TU Delft, Delft, 2628CD, Mekelweg 5

Project descriptions and scope

The following postings describe research and development activities across multiple institutions and projects. Each item provides a brief project focus and context, including aims such as applying computer simulations, radiative heat transfer modelling, energy harvesting, and propulsion/aerodynamics optimization. Specific project titles or references are included in the original postings where noted.

Responsibilities (examples drawn from postings)

• Analyse and develop methodologies to accelerate computation of numerical optimization via parallelization and GPUs.
• Study radiative heat transfer phenomena in propulsion-related contexts using computer simulations and develop numerical models for solving the radiative transfer equation.
• Integrate a vibration energy sensor to power a mobile noise measurement station and work on energy harvesting and energy estimation tasks.
• Support scientific research activities within engineering projects, including software development and simulation-based analysis.

Qualifications (typical expectations across postings)

• Strong background in engineering, physics, computer science, or a related field with experience in numerical methods, simulations, or optimisation.
• Experience with parallel computing and/or GPU‑accelerated work is desirable.
• Ability to work in multidisciplinary teams and communicate results effectively.
• Applicants should refer to the specific institution's requirements for the exact role and eligibility.

Note

This description consolidates multiple postings from various institutions. It preserves the original language fragments and project themes but does not introduce new facts beyond what is stated in the source material.