Graduate Research Opportunity – NASA-Funded 
Laboratory of Turbulence, Sensing

& Intelligence Systems
University of Texas at San Antonio (UTSA)

Graduate

Research Assistant position in Mechanical Engineering: The Laboratory of

Turbulence, Sensing & Intelligence Systems is seeking motivated students to
join
our NASA-funded research team starting Spring/Fall 
2026.

Research Focus:

Students will develop and apply machine learning and AI tools to address

cutting-
edge problems in:

Atmospheric Turbulence Modeling

Air Pollution

Monitoring & Prediction

Space and Aerospace Systems

Requirements:

Strong

programming skills (Python, C++, or similar)

Hands-on experience with machine

learning/AI frameworks (e.g., TensorFlow, 
PyTorch, Scikit-learn)

Background
in
Mechanical Engineering, Aerospace Engineering, Physics (Undergraduates in
these
disciplines are encouraged to apply)

The funding is from NASA.
Benefits:

Fully
funded tuition and salary

Travel support to present research at national
and
international conferences

Opportunity to collaborate with NASA researchers
and
contribute to real-world 
aerospace challenges

Start Date: Spring/Fall
2026

Application: Apply soon by sending your CV and Statement of Purpose to:
Prof. 

Bhaganagar at the email address :
kiran.bhaganagar@utsa.edu

The Department of Materials Science and Engineering (IMA) at the Natural Science 
Faculty, has a vacancy for a position as PhD candidate related to modelling of 
electrode processes relevant for production of aluminium by electrolysis (Hall-
Héroult process). The PhD project is affiliated to the National Research Center 
for Zero Emissions Metal Production (FME ZeMe). The main aim of this PhD project 
is to develop mathematical models relevant for processes at the anode of aluminium 
electrolysis cells, with emphasis on evolution of bubbles, including the so-called 
“anode effect”. The aim of the project is to obtain improved understanding of 
these phenomena, and how they affect the performance and operation of cells, using 
advanced mathematical modelling in the open-source simulation platform OpenFOAM. 

More information: https://www.jobbnorge.no/en/available-jobs/job/291522/phd-
candidate-in-modelling-of-electrochemical-gas-evolution-in-electrolysis-processes

Graduate Building Aerodynamics CFD Wind Engineer

Job Description

Essential
Requirements
  •   Honours Degree in Engineering (Aeronautical, Civil or
Mechanical) or 
  •   Honours Degree in Science/Physics with a relevant sub-
major.
  •   Some experience or training in aerodynamics involving modelling in
the wind tunnel and/or Computational Fluid Dynamics.
  •   Familiarity with
Rhinoceros 3D and/or equivalent CAD software.
  •   Have excellent written and
verbal communication skills.
  •   At least 2 years of relevant industry
experience
  •   UK citizens or permanent residents only

Responsibilities and
Duties
  •   Prepare 3D models.
  •   Conduct Computational Wind Engineering
Simulations on various aspects of the built environment.
  •   Conduct research
and simulation of wind microclimate, thermal, solar radiation, pollution
dispersion, daylight and airflow of the built environment.
  •   Liaise with
clients and other members of the CFD team to deliver consultancy projects on
time and within budget.
  •   Devise methodologies for analysis and
visualisation of different aspects of the built environment.
  •   Presenting
analysis both internally and externally in the form of reports and client
presentations.

Desirable Requirements
  •   Post-Graduate Degree involving
fluid dynamics.
  •   Relevant industry experience.
  •   Experience with
Building Environmental CFD Modelling.
  •   Familiarity with Linux operating
system and high-speed computing clusters (HPC).
  •   Experience using any of
the following tools/software packages: OpenFOAM, Python, Grasshopper, Radiance,
InDesign, Rhinoceros 3D, Paraview

Benefits and Perks
On-the-job training will
be provided to the right applicant. Health care, Pension Contribution,
Professional membership contribution.

Company Overview
Windtech Consultants is
a leading global Wind Engineering consultancy firm. Our wind engineering
services cover all aspects of wind effects on buildings and other structures.
We
support sustainable design by providing accurate modelling and sound advice for
natural ventilation, daylight, solar access, glare and thermal comfort.

Why
Join Us?
Windtech Consultants are a rapidly expanding company of consulting
engineers specialising in the analysis of wind effects on buildings, structures
and the environment.We are seeking individuals who are driven to succeed to join
our London office.

This is an excellent opportunity to be a key part of a
growing, 

A fully funded PhD position is available in the field of Computational Fluid
Dynamics (CFD) at the University of Louvain (UClouvain). The successful
candidate will conduct research on turbulent natural convection with an
evaporative free surface — a topic of great relevance to both environmental and
engineering applications. This project forms part of a broader research
initiative aimed at deepening our understanding of natural convection at high
turbulence intensities with phase-change phenomena such as evaporation and
boiling.


The successful candidate will join the Multiphase and Reacting Flows
Group of  Professor M. Papalexandris at the Institute of Mechanics, Materials
and Civil Engineering at UCLouvain. Further information about the group’s
activities can be found on our website: https://sites.google.com/site/
mvpapalexandris/


The scholarship offers: competitive salary, health insurance
and social benefits, financial support for attending conferences and workshops,
and access to state-of-the-art computational facilities


Required qualifications:
- Master's degree in Engineering, Mathematics or Physics
(preferably with some background in fluid mechanics and numerical analysis)
- Strong academic performance with a minimum master's average grade of 70/100.
- Proficiency in computer programming, preferably in C/C++ or Python
- Strong communication skills and proficiency in written and spoken English

Interested applicants are invited to submit the following documents to 
Professor M. Papalexandris, miltos@uclouvain.be
1. A detailed CV
2. Academic transcripts
3. Statement of research interests, and
4. Names and contact details of two references

PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"

We invite applications for a fully funded PhD position in the field of data-
assisted computational modelling of particulate multiscale and multiphysics 
flows in the frame of the newly founded Christian Doppler Laboratory for Data-
Assisted Simulations of Complex Flows. The PhD project will be conducted at the 
Johannes Kepler University, Linz, Austria in close cooperation with Plansee SE, 
Reutte, Austria. The position comprises 6 - 8 weeks on-site visits per year at 
Reutte, Austria.

For this industry-orientend position we are looking for a motivated and curious 
PhD candidate.

Start Date: January 2026 or as soon as possible thereafter

Your tasks:

Research in the field of computational modeling of particulate multiscale and 
multiphysics flows

Development of surrogate models (e.g., recurrence CFD) for real-time simulations

Contribution to digital process twins for industrial furnaces

Addressing fundamental questions in data-assisted modeling to reduce energy 
consumption and CO₂ emissions

Collaboration within the Christian Doppler Laboratory for Data-Assisted 
Simulations of Complex Flows

Your profile:

Master’s degree in Physics, Applied Mathematics, Mechanical Engineering, 
Computational Science, or a related field

Solid background in classical simulation techniques (e.g., CFD, CFD-DEM)

Strong programming skills in at least one scientific computing language

Interest in or willingness to learn deep learning or other data-driven modeling 
methods

Beneficial: Experience with machine learning frameworks and physics-based 
simulations

Experimental skills for validation experiments

Willingness to conduct on-site visits and talk to responsible people from 
development and production

German language skills desirable

What we offer:

A dynamic and supportive research environment in a leading computational 
modeling group

Close cooperation with the industrial partner Plansee SE

Access to high-performance computing resources and collaborative networks

International collaborations, conference participation, and career development 
opportunities

Employment at the Johannes Kepler University of Linz with a gross salary of EUR 
3.715,-- (14 times per year)

Application Instructions:

Please send your application documents to andrea.scharinger@jku.at or apply 
directly at our career site with:

A short but honest cover letter detailing your research interests and motivation

A 2-page CV including relevant publications (if any)

Large-Eddy Simulation of flow in a non-isothermal cavity with adsorption


>>>
If you wish to apply for this postdoctoral position, you must do so by clicking
on the following link: 

https://institutminestelecom.recruitee.com/l/en/o/post-
doctorantepost-doctorant-
simulation-aux-grandes-echelles-de-lecoulement-au-
sein-dune-cavite-anisotherme-
en-presence-dadsorption-en-cdd-13-mois-a-imt-nord-
europe


Affiliation: IMT Nord Europe
Unit: CERI Energie Environnement

Hierarchical supervisor: Directrice du Centre Énergie Environnement
Nature of
employment: postdoctorat (CDD, durée : 13 mois)
Workplace: Douai, France



Context:
As a school under the supervision of the French Ministry of the
Economy, Finance, Industrial and Digital Sovereignty, and a member of the
Institut Mines-Télécom, IMT Nord Europe pursues three main missions: training
responsible engineers capable of addressing the major challenges of the 21st
century; conducting research leading to high value-added innovations; supporting
regional development, notably by facilitating innovation and entrepreneurship.
Its objective is to train the engineers of tomorrow, equipped with both advanced
digital technologies and industrial expertise. Ideally located at the crossroads
of Europe—1 hour from Paris, 30 minutes from Brussels, and 1h30 from London—IMT
Nord Europe aims to become a major player in the industrial, digital, and
environmental transformations of the 21st century, combining engineering
sciences and digital technologies in both its teaching and research activities.

With two main teaching and research sites in Lille and Douai, IMT Nord Europe
benefits from over 20,000 m² of laboratory facilities supporting high-level
education and world-class research in the following fields:


            Digital Systems

             Energy & Environment


            Materials & Processes

For more details, please consult the school’s
website: imt-nord-europe.fr.

The position is based within the Energy
Environment Teaching, Research and Innovation Center (CERI EE) (website:
research.imt-nord-europe.fr/energy-and-environment/). The Center hosts around 60
PhD candidates and post-doctoral researchers, 30 faculty members, 12 engineers
and technicians, and 2 administrative assistants. It is currently structured
into three thematic research axes: Indoor Environment Quality (QEI), Atmospheric
Observations, Sources & Processes (OSPA), Energy, Fluids and Transfers (EFT).
The successful candidate will join the QEI research axis, which aims to
characterize and understand the determinants of indoor environmental quality in
order to identify action levers ensuring environmental health and occupant
comfort. The research ultimately supports stakeholders in building construction,
renovation, and operation; and informs, raises awareness, and guides public
authorities and the general population. The thematic axis addresses questions
related both to indoor environments in their diversity and to their occupants
and activities. The scientific strategy relies on experimental investigations
and advanced data analyses (including data from numerical modelling and
simulations), covering all components of indoor environmental quality:
materials, construction, ventilation, sanitary and thermal air conditioning,
aerothermal components, exposure, well-being, comfort, and environmental
health.

Research context:

Indoor Air Quality (IAQ) is a scientific field
concerned with detecting, quantifying, and preventing concentrations of
pollutants (gaseous or particulate) known to affect human health or perceived
comfort. Numerical models in IAQ aim to predict the temporal evolution of
pollutant concentrations, which may arise from multiple factors: air-exchange
rates, gas–surface interactions, homogeneous or heterogeneous reactions,
emission sources, variations in air and material temperature, etc.
Computational
Fluid Dynamics (CFD) is particularly valuable for IAQ modelling because it
provides detailed spatial distributions of concentration, temperature, and
velocity, helping to better understand interactions at local scales. Simulation
studies are generally more cost-effective than large-scale measurement campaigns
and make it easier to isolate specific phenomena compared with full-scale
experiments. The main limitation of CFD simulations lies in the difficulty of
capturing the full complexity of physical phenomena, often due to simplified
thermal or mass boundary conditions and turbulence models (such as Reynolds-
Averaged Navier–Stokes, RANS), which approximate air-flow velocity fields.

This
project focuses on using high-fidelity CFD turbulence simulations of the Large-
Eddy Simulation (LES) type to represent gas–surface interactions as accurately
as possible within an idealized confined environment, while accounting for
adsorption and thermal transfers at walls.

The research follows two main
directions:

- Fundamental research: improving our understanding of gas–surface
interaction mechanisms in indoor air under coupled heat and mass transfer
conditions; identifying the transfer regimes governed by dimensionless numbers;
designing LES numerical benchmarks to better assess RANS-based simulations.

-
Applied research: designing systems based on physicochemical adsorption
mechanisms to both mitigate indoor air pollution and improve thermal comfort.



Missions:
The first mission is to conduct LES numerical simulations of a
natural-convection-driven flow inside an ideally confined cubic environment. A
temperature difference is imposed on two opposite vertical walls, and the
Rayleigh number is set to 10⁹. A first-order temperature-dependent Langmuir
adsorption kinetic model is applied to internal walls to simulate pollutant
transfer between the gaseous and adsorbed phases. Several simulations will be
carried out by varying the Damköhler number, characterizing the ratio between
reaction and diffusion timescales, in order to determine its influence on air–
wall transfer dynamics.

The second mission to optimize a system designed to
both heat and purify indoor air. Simulations will be performed in 2D and then 3D
to identify optimal geometrical configurations offering the best compromise
between heat and mass transfer enhancement.


Activities:

            - Become
proficient with an existing CFD computation code.

            - Implement a
kinetic model in an existing CFD environment.

            - Carry out numerical
simulations on a computing cluster and perform post-processing.

            -
Write scientific publications.

            - Organize regular meetings to
summarize and present ongoing work (in English or French).

            - In
addition to their research duties, the postdoctoral researcher may teach up to
25 hours per year (TD-equivalent hours) within the institution.



Job
requirements

Candidate Profile: The candidate must hold a PhD in fluid
mechanics with strong skills in CFD. Experience in high-fidelity turbulence
simulations (LES or DNS) is required. Knowledge of heat transfer, natural or
mixed convection, and/or mass and reactive transfers is expected. Prior
experience in adsorption is not mandatory but will be highly appreciated.
Experience with Star-CCM+ or OpenFOAM, as well as with optimization techniques
and programming, is desirable.

 

Soft skills

   - Scientific rigor and strong
writing ability
   - Organized, meticulous, autonomous, and responsive
   - Good
listening skills
   - Communication and teamwork abilities
   - Interpersonal
skills
   - Pedagogical mindset

Technical Skills

   - CFD
   - Direct
Numerical Simulation (DNS), Large-Eddy-Simulation (LES)
   - Unsteady flows and
turbulence, statistics, FFT, etc.
   - Development and programming of numerical
codes and routines

Knowledge
   - Good level of English
   - Natural or mixed
convection
   - Flow similarity
   - Optimization and numerical techniques
   -
Heat and/or mass and/or reactive transfer

 
Conditions:

The job is to be
filled as to 01/04/2026 for a period of 13 month (temporary contract).


Information and application methods:

            - For any information on the
missions, please contact: 
Rémi GAUTIER, PhD, Assistant Professor

remi.gautier@imt-nord-europe.fr
+33 3 27 71 23 35
https://research.imt-nord-
europe.fr/staff/gautier-remi-2/

            - For any administrative
information, please contact the Human Resources Department: jobs@imt-nord-
europe.fr

            - This job is offered to civil servants on a mobility
basis, or on a contractual basis under public law.

            - In addition,
the position can be adapted for a disabled person. 

 

Deadline date for
submissions: 15/01/2025

Under extreme high heat flux and magnetic fields in confinement fusion, plasma-
facing-components (PFC) undergo extreme thermal, structural and chemical stress. 
Liquid PFCs on the other hand offer a viable solution in the heat flux extraction 
with Lithium (Li) as a viable alternative. While flowing Liquid Metal (LM) PFCs 
represent a transformative technology, it is still not well understood.
 
The project will use smoothed particle hydrodynamics (SPH) to simulate the 
instabilities on flowing liquid metal PFCs such as the divertor. The Lagrangian 
and mesh-free characteristics of SPH have dominated the field of free-surface 
flows where fragmentation of the free surface is present and are ideally suited to 
liquid metal PFCs.

The software for this work is our state-of-the-art open source multiphysics weakly 
compressible SPH solver DualSPHysics with GPU hardware acceleration, capable of 
simulation up to 100 million nodes per GPU. 

You are advised to contact Dr Georgios Fourtakas before applying for the PhD 
position with your CV attached to your email.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computer Aided Engineering (CAE) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, automated mesh/re-mesh for key components especially moving 
components. 

With our continued expansion in the industry, we are currently seeking CFD 
project engineers to help meet the increasing demand in our Detroit office. The 
project engineer is responsible for providing expertise and developing CFD 
methods and will work closely with the customer and solver developers to 
communicate simulation results and recommendations. The candidate will use 
Simerics’ own software Simerics-MP/Simerics-MP+ to perform required simulations, 
in conjunction with Computer Aided Design (CAD) tools such as SolidWorks, PTC 
Creo, SpaceClaim, Python, and etc.

Detailed job responsibilities include:
CFD/CAE Applications:
• Develop 3D simulation models for various thermal/fluid applications including 
electric motor cooling for electric cars, battery cooling, fuel injection, oil 
splash in transmission gearbox, positive displacement pumps, valves, vehicle 
thermal management, and etc.
• Research and development of new methods and simulation processes to provide 
fast and accurate simulation strategy for customer’s product development.
• Analyze the dominant physics involved in the system (flow, multiphase, 
cavitation/aeration, pressure ripple, temperature, torque/power)
• Identify the critical parameters and perform optimization to improve product 
performance and design
• Interpret simulation results and prepare high-quality presentations.
• Participate in conferences and publish research articles.

Technical Training/Support:
• Provide modeling and simulation guidance and assistance to the users of 
Simerics, from pre-processing in CAD, simulation setup to post-processing.
• Training and interact with customers to analyze the technical needs, deliver 
reports and reviews, and provide solutions to clients’ technical challenges.
• Prepared and presented technical documents to show the features and 
capabilities of Simerics at conferences client meetings.

Required Qualifications:
• A Ph.D. degree in engineering, mathematics, physics or similar 
discipline with emphasis on thermal fluid. Or a master's degree with 1+ years 
equivalent industrial experience.
• Solid understanding of numerical methods, such as finite volume and finite 
difference methods.
• Strong technical background in fluid mechanics, heat transfer, thermodynamics.
• Highly motivated and dynamic, strong interpersonal and communication skills, 
be a team player
• Demonstrated skills in writing and presenting in fluent English
Desired Qualifications:
• Demonstrated experience programming in C, C++, FORTRAN, or Python.
• Familiarity with Linux and parallel computation.
• Experience with the use of commercial and/or non-commercial CFD tools in 
solving flow problems.
• Experience in multiphase flow, phase change.
• CAD experience (SolidWorks, Creo, CATIA, AutoCAD, or NX).
We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. If interested, please send your CV to the hiring 
manager, Dr. Chiranth Srinvasan, at cs@simerics.com.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computer Aided Engineering (CAE) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, automated mesh/re-mesh for key components especially moving 
components. 

With our continued expansion in the industry, we are currently seeking CFD 
project engineers to help meet the increasing demand in our Detroit office. The 
project engineer is responsible for providing expertise and developing CFD 
methods and will work closely with the customer and solver developers to 
communicate simulation results and recommendations. The candidate will use 
Simerics’ own software Simerics-MP/Simerics-MP+ to perform required simulations, 
in conjunction with Computer Aided Design (CAD) tools such as SolidWorks, PTC 
Creo, SpaceClaim, Python, and etc.

Detailed job responsibilities include:
CFD/CAE Applications:
• Develop 3D simulation models for various thermal/fluid applications including 
electric motor cooling for electric cars, battery cooling, fuel injection, oil 
splash in transmission gearbox, positive displacement pumps, valves, vehicle 
thermal management, and etc.
• Research and development of new methods and simulation processes to provide 
fast and accurate simulation strategy for customer’s product development.
• Analyze the dominant physics involved in the system (flow, multiphase, 
cavitation/aeration, pressure ripple, temperature, torque/power)
• Identify the critical parameters and perform optimization to improve product 
performance and design
• Interpret simulation results and prepare high-quality presentations.
• Participate in conferences and publish research articles.

Technical Training/Support:
• Provide modeling and simulation guidance and assistance to the users of 
Simerics, from pre-processing in CAD, simulation setup to post-processing.
• Training and interact with customers to analyze the technical needs, deliver 
reports and reviews, and provide solutions to clients’ technical challenges.
• Prepared and presented technical documents to show the features and 
capabilities of Simerics at conferences client meetings.

Required Qualifications:
• A Ph.D. degree in engineering, mathematics, physics or similar discipline with 
emphasis on thermal fluid. Or a master's degree with 3+ years equivalent 
industrial experience.
• Solid understanding of numerical methods, such as finite volume and finite 
difference methods.
• Strong technical background in fluid mechanics, heat transfer, thermodynamics.
• Highly motivated and dynamic, strong interpersonal and communication skills, 
be a team player
• Demonstrated skills in writing and presenting in fluent English
Desired Qualifications:
• Demonstrated experience programming in C, C++, FORTRAN, or Python.
• Familiarity with Linux and parallel computation.
• Experience with the use of commercial and/or non-commercial CFD tools in 
solving flow problems.
• Experience in multiphase flow, phase change.
• CAD experience (SolidWorks, Creo, CATIA, AutoCAD, or NX).
We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. If interested, please send your CV to the hiring 
manager, Dr. Chiranth Srinvasan, at cs@simerics.com.