Flow Physics Lab at Dept. of Mechanical, Materials and Aerospace Engineering at 
IIT Dhawrad is seeking applications for Research Associate positions. Successful 
candidates will work on exciting multiphase CFD problems.

Responsibilities:
* Develop and modify existing code for multiphase problems.
* should have the ability to work in a group. 
* Publish the findings in top-tier journals.

Requirements:
* PhD in Mechanical Engineering, Chemical Engineering, Computational Fluid 
Mechanics.
* Should have Knowledge of the Lattice Boltzmann Method and Interface tracking 
methods.
* Proficiency in Coding languages such as C++ and Python.
* Ability to modify existing code and use open-source codes like OpenLB and 
TCLB.
* Knowledge of parallel computing
* Should have knowledge of software like TecPlot and Paraview.
* Good communication and collaborative skills.

What we offer.
* Collaborative working environment.
* High-end workstations with High-Performance Computing support. 

HOW TO APPLY
 Please fill out the below Google form, LAST DATE: 10/01/2025.
 https://forms.gle/nSGzzd4CEdta55vJA

Understanding the behaviour of fibre-laden drops is critical due to their presence in various industrial applications, including microelectronics fabrication, portable medical devices, and biofuel production. Our work focuses on the numerical simulation of fibre-laden drops, specifically investigating a single long deformable fibre within a drop impacting a solid substrate. The study aims to elucidate the dynamic interactions between the fibre and the drop. Key objectives include determining the changes in drop dynamics due to the fibre and observing fibre deformation upon impact.

This work will involve computational fluid dynamics (CFD), particularly finite volume methods, with a focus on interface tracking using the Volume of Fluid approach. The simulation will incorporate surface wettability to enhance our understanding of elasto-capillary interactions, offering insights relevant to real-world applications.

We are seeking a motivated student with prior experience in CFD (preferably OpenFOAM) or similar modelling software.

Requirements:

    Enrolled in a degree program such as Process Engineering, Mechanical Engineering, or Computational Modelling and Simulation
    Strong interest in particle-fluid dynamics and numerical simulations
    Preliminary experience in CFD, ideally with OpenFOAM
    Basic coding skills, preferably in C++

Conditions:

    Immediate start possible
    Duration of internship or thesis as per university regulations
    Remuneration available, scholarship holders (e.g. ERASMUS+) are welcome

Are you a talented Engineering software developer? Are you willing to work at 
the heart of a company developing engineering tools including for meshing and 
geometry manipulation, as we continue to identify and exploit emerging 
commercial opportunities for our BOXER Software System and BOXERgeom our Digital 
voxel-based geometry kernel?

We are looking for someone with good understanding of Geometry or Meshing 
concepts. A person with proven software development experience and working 
knowledge in one or more of the below topics would be ideal.
•	Generative design, Topology Optimization
•	Voxelized Digital Geometry
•	Level-Set Methods
•	Mesh Adaptation/Refinement/Smoothing
•	3D Graphics and High-end Gaming
•	Geometry tessellation and 3D Printing
We welcome expertise in various programming languages including C, C++, C# and 
Python.

Job Responsibilities
•	As a Software Developer, you will help the team in accelerating BOXER 
product development 
•	You will be required to carry out various development tasks ranging from 
new development, customer-led improvements, and bug fixes
•	You will be required to work across the domains of meshing, geometry 
modelling, computational geometry as per the company strategic roadmap

Minimum Education /Experience:
Compulsory
•	Bachelor’s degree or higher in engineering, computer science, 
mathematics, or related field
•	Professional experience in software development - we are looking for 
someone with at least 3 years of working in this field but would welcome 
applicants with significantly more experience 
•	Primarily, Linux development but familiarity with Windows

Desirable Qualifications / Skills
•	Experience in developing large scale graphics/GUI applications 
•	Knowledge of Parallel Programming using MPI or OpenMP
•	Familiar with Testing methods and systems
•	Good communication and documentation skills

Personal Qualities/Skills
•	Team work and collaboration, but also ability and aptitude for 
independent working
•	Problem solving and attention to detail
•	Adaptable and able to use initiative

About Cambridge Flow Solutions (CFS):
We at CFS are committed to building engineering software tools and products that 
are effective, easy to adopt and make a significant impact on industry. Our 
products like BOXERmesh, BOXERgeom & BOXERsolve have an international reputation 
for scalability, robustness, configurability, and modular design. Over the last 
decade, CFS has built a strong relationship with its customers. We offer 
solutions across a range of industries based on our core research vehicles:
•	BOXERmesh, a robust scalable fully parallel mesh generator
•	BOXERgeom, a voxel-based Digital Geometry™ modelling kernel which 
supports MRO, AI/ML
•	BOXERsolve, a highly customisable ale RANS/LES/thermal solver

What do we offer:
•	Competitive pay depending on experience 
•	Opportunity to work in a specialist but significant domain – our zero 
carbon future will be designed and delivered using simulation
•	Professional work environment
•	Work with a dynamic and inclusive team

Job Location: Office based, Cambridge, UK
Job Type: Permanent

With offices on the world-renowned Cambridge Science Park, UK we are continually 
looking for exceptional talent, particularly in the areas of Computing, CFD/CAE 
applications engineering, consulting, sales and support. We offer stimulating 
work in a young and dynamic company with exciting prospects.  For the right 
person, development into leadership roles is encouraged.

Salary: CFS offers a competitive salary 

Please email with a stated salary expectation and the job reference, GMSD when 
applying. Only applications with this salary information will be considered. 
Please forward all applications (enclosing a CV and cover letter) to 
careers@cambridgeflowsolutions.com

Closing date: We review applications on a rolling-basis

There will be a two stage interview process with an initial telephone interview 
and then successful candidates will be asked to attend an interview online or in 
person.

Cambridge Flow Solutions is an equal opportunities employer and we welcome 
applications from all suitably qualified persons.

Navist is an engineering and consultancy company offering comprehensive 
multidisciplinary CAE and R&D services in every engineering domain from 
mechanical design to CFD, thermal, structural and 1D system-level simulations.

Navist is also the STS partner of Siemens.



Role Summary:

Navist is seeking a CFD Project Engineer to join the CAE team at the head office 
in Ankara.



Responsibilities:

Performing the CFD simulations and design optimization for in-house and client 
projects.
Reporting, presenting, and sharing outcomes of the project studies across 
departments and to our clients.
To support pre- and post-sales activities for Siemens CFD tools, such as STAR-
CCM+ and FloEFD .


Requirements:

 BSc or MSc in mechanical (or a related field) from accredited universities. 
At least two years of professional experience or Master’s degree in Thermal-
Fluid sciences.
Capable of keeping up with domestic and international literature in the field 
and demonstrating a willingness to engage in research.
Fluency in English.


Preferred Skills:

Having or continuing a master’s degree in Thermal-Fluid sciences.
Proficient in at least one programming language.
Being familiar with STAR-CCM+ and/or FloEFD

=============================================================
JOB APPLICATION IS NOW OPEN:
https://concorsi.unige.it/home/procedure/5083

The DEADLINE to apply is on the 2nd JANUARY 2025 at 12:00 pm (Italian time).

Further details are also available in the file:
https://www3.dicca.unige.it/~markom/data/postdoc/research_program_10.pdf

Please, write me at marco.mazzuoli@unige.it to schedule a preliminary meeting.
=============================================================

JOB DESCRIPTION
Motivation
The post-doc position is conceived in the context of the National (PRIN) Project  MARINE DUST, which is motivated by the problem of predicting the fate of plastic microscopic particles (MPs) and harmful micro-algae in the coastal environment.
A DETAILED DESCRIPTION of the project can be found at http://www3.dicca.unige.it/~markom/home/marine_dust.html

Objectives
• The effect of the turbulent boundary layer on the evolution of progressive non-breaking waves will be investigated by means of direct numerical simulations (DNS). The flow field will be evaluated for different wave parameters, considering both smooth and wavy bottom surfaces. HPC resources are currently available on LUMI (https://www.lumi-supercomputer.eu/).
• In such flow conditions, the motion of Lagrangian buoyant particles will be explored by using both DNS and laboratory experiments with the objective of modelling the particle dynamics and improving the capability to predict the concentration of MPs and micro-algae. The mass transport and the presence of particle concentration patterns at the free surface will also be object of the
present study.

Cooperation
The research activity will be carried out in cooperation with the other units involved in the project (La Sapienza University -Rome- and the University of Catania -Sicily-) where complementary numerical and experimental investigations are planned.

Start
The job will START IN FEBRUARY 2025.

JOB REQUIREMENTS
Essential
PhD in Mechanical, Civil, Environmental Engineering or in Physics or in Applied Mathematics. VERY GOOD knowledge of fluid dynamics, turbulence, numerical methods and modelling. EXCELLENT English proficiency. VERY GOOD skills in C/Fortran and Matlab/Python programming. GOOD experience of parallel computing on HPC systems.

Additional
GOOD experience of parallel programming, GOOD knowledge of particle and granular suspension dynamics would be a plus.

Work duties

The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will also/can also include teaching and other departmental duties (no more than 20%).

This doctoral position is centered on the advanced study of Computational Fluid Dynamics (CFD) as applied to biomass thermochemical conversion. The primary research focuses on developing mathematical and computational modeling to predict the composition of bio-oil and permanent gases released during the pyrolysis process, biochar properties, and feedstock variation's effect under CO2-rich pyrolysis. The morphology of the produced biochar, pore size distribution, and specific surface area, depend on the parent biomass's structure and the pyrolysis reactions' operating conditions. In CO2-rich pyrolysis, the morphology of char is expected to be different from pyrolysis in the N2 environment.

Detailed description of the work duties:

    Mathematical model development for biomass pyrolysis and char production
    Implementation of the developed model in CFD software
    Conduct CFD simulations to analyze the pyrolysis condition effect on the products’ properties,
    CFD of pyrolysis reactor,
    Expand the model to release of inorganic species from biomass,
    Collaborate with interdisciplinary teams and contribute to academic publications and presentations,
    Participate in conferences and workshops to disseminate research findings,
    Engage in teaching and other departmental duties as required (no more than 20%).

Admission requirements 

A person meets the general admission requirements for third-cycle courses and study programs if the applicant:

    has been awarded a second-cycle qualification, or
    has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
    has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third-cycle studies in Energy Sciences if the applicant has:

    at least 90 credits in the subject of the third cycle program, of which at least 60 credits are from second-cycle courses of relevance to the subject and 30 credits from a second-cycle degree project of relevance to the subject
    an MSc or a master's degree in mechanical engineering, engineering physics, or an associated field.

Additional requirements:

    Very good oral and written proficiency in English.
    Knowledge of fluid mechanics and reacting flow 
    Demonstrable experience in computational fluid dynamics (CFD) simulation.
    Strong analytical skills and the ability to conduct independent research.
    Ability to collaborate effectively with interdisciplinary research teams.

Assessment criteria

Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily based on academic results from the first and second cycles. Special attention is paid to the following: 

    Knowledge and skills relevant to the thesis project and the subject of study. 
    An assessment of the ability to work independently and to formulate and tackle research problems.
    Written and oral communication skills.
    Other experience relevant to the third-cycle studies, e.g. professional experience.
     

Other assessment criteria:

    Knowledge and practical experience in computational fluid dynamics (CFD)
    Knowledge and practical experience in mathematical modeling, such as biomass pyrolysis chemistry, reacting porous media, pore-scale modeling
    Knowledge of biomass thermochemical conversion
    Knowledge of chemistry and reaction kinetics in the gas phase
    A track record of published research in relevant scientific journals

Consideration will also be given to good collaborative skills, drive, and independence, and how the applicant, through experience and skills, is deemed to have the abilities necessary for completing the third cycle program.

Title: Building a numerical virtual platform for evaluating flexible
floating photovoltaic panels

In this internship, the objective is to build up an efficient numerical platform 
for virtually assessing the thin-film floating PV panels in terms of the 
structure’s response under the water wave excitation, which is essentially a 
fluid-structure interaction (FSI) problem. The free-surface flow shall be 
modeled 
using the lattice Boltzmann method (LBM) by means of an open-source software 
named OpenLB [2]. The thin-film will be simulated with the corotational finite 
element 
method (FEM), which is to be coupled with LBM via the immersed boundary method 
(IBM) [3][4][5][6] developed within the research group in LHEEA since almost ten 
years.

For more details, please refer to:
https://www.linkedin.com/posts/mtech-hoe_internship-on-numerical-simulation-of-
fsi-activity-7270335504250765312-0krp?utm_source=share&utm_medium=member_desktop

Period: From March to August in 2025

Salary: about 600 euros per month

Requirement: the candidate should already have a M1-Master level, i.e. this is 
M2-Master thesis

References:
[1] Where Sun Meets Water: Floating Solar Market Report. World Bank, Washington, 
ESMAP 2019.
[2] A. Kummerländer, T. Bingert, F. Bukreev, et al. OpenLB Release 1.7: Open 
Source Lattice Boltzmann Code. Version 1.7. Feb. 2024.
[3] Z. Li, J. Favier, U. D’Ortona, et al. An immersed boundary-lattice Boltzmann 
method for single- and multi-component fluid flows. Journal of Computational 
Physics 304: 424-440, 2016.
[4] Z. Li, W. Cao, D. Le Touzé. On the coupling of a direct-forcing immersed 
boundary method and the regularized lattice Boltzmann method for fluid-structure 
interaction. Computers & Fluids 190: 470-484, 2019.
[5] Z. Li, G. Oger, D. Le Touzé. A partitioned framework for coupling LBM and 
FEM through an implicit IBM allowing non-conforming time-steps: application to 
fluid-
structure interaction in biomechanics. Journal of Computational Physics 449: 
110786, 2022.
[6] Z. Li, X.R. Huang, L. Fang. Numerical modeling of fluid–structure–
piezoelectric interaction for energy harvesting. Computer Methods in Applied 
Mechanics and 
Engineering 414: 116164, 2023.

POSITION: Doctoral Studentship - Computational and Analytical Modeling
in Atmospheric Science.

We are inviting applications for an NSF-funded Doctoral Studentship to
conduct research on  atmospheric turbulent multiphase flows using
analytical and computational modeling techniques.  This study focuses
on the marine atmospheric boundary layer of a hurricane laden with
polydisperse evaporating sea spray. In-depth understanding and
accurate modeling of the interaction between ocean spray and turbulent
airflow under high-wind conditions of a hurricane is essential
for improving forecast accuracy of the intensity of hurricanes and severe storms. 

The selected candidate will actively contribute to the development and
implementation of a mathematical and computational model for a marine
atmospheric boundary layer laden with evaporating polydisperse sea
spray.  The model will enable us to accurately describe the effect of
ocean spray on the air-sea exchange of momentum, heat, and moisture in
high-wind conditions of a tropical cyclone. This research project
combines the fields of applied mathematics, computational fluid
dynamics, and atmospheric science.


MINIMUM  QUALIFICATIONS:
1. B.S.  or M.S. degree either in Applied Mathematics, Atmospheric Sciences,
Physics, Engineering, or other relevant field.
2. Good English proficiency proven by TOEFL or analogous exam score.
3. GRE exam.

HIGHLY DESIRED QUALIFICATIONS:
1. Experience with numerical methods and programming skills in Matlab
and/or fortran90.
2. Experience with Mathematical Modeling.
3. Experience with Fluid Dynamics and/or Atmospheric Science.



APPOINTMENT DATE:  Fall 2025

If you are interested in this opportunity, you need to


I. formally apply to the Applied Science & Technology (AST)
Ph.D. program at
https://www.ncat.edu/admissions/graduate/admission-requirements.php
When prompted for a concentration, please specify Atmospheric,
Environmental & Energy Science.
Important: In your personal statement, clearly indicate that if admitted
to the program, you would like to work with me, Prof. Yevgenii Rastigejev.
Please review the instructions thoroughly, pay special attention to the requirements, particularly
for TOEFL and GRE scores, WES evaluation of foreign transcripts, and
recommendation letters.

II. send applications containing 
1. Cover letter. 
2. Up-to-date CV/resume with a list of references.
3. Transcripts. You may submit unofficial transcripts now, but
official transcripts will be required later in the application process.
to Dr. Yevgenii Rastigejev, E-mail: hiring.NCAT@gmail.com

--------------------------------------------------------------------

Some  Key Points
1. Submission of Test Scores:
Applicants may upload unofficial English proficiency and GRE test scores
during the application process. However, if admitted, they must submit
official scores directly from the testing agency before registration.

2. Foreign Transcript Evaluation:
Applicants may submit an unofficial course-by-course credential evaluation
by SpanTran, WES, or ECE along with their foreign transcript(s) during the
application process. If foreign transcripts are not in English, they must be
accompanied by an English translation. If admitted, an official course-by-course
evaluation report by SpanTran, WES, or ECE is required, and the evaluating
agency must send it directly to the Graduate College.

3. To improve your chances of admission, submit your application
as soon as possible, even if you do not currently have all the
required documents. You will have the opportunity to upload
any missing documents later. It is strongly recommended submitting
your application by the Priority Admission Deadline, January 15, 2025.

4. Please refrain from submitting your application if you do not meet the minimum requirements.

The Computational Flow Physics and Engineering (CFPE) lab under the supervision 
of Dr. Haoxiang Luo (https://my.vanderbilt.edu/haoxiang/) is seeking a post-
doctoral scholar on computational modeling of fluid-structure interaction (FSI). 
The position is open for immediate hire. We are looking for a highly motivated 
candidate with expertise in developing high-fidelity and efficient numerical FSI 
solvers and parallel computing algorithms. This position is supported by a 
multi-year grant and involves a multidisciplinary team of researchers. To 
qualify for the position, the candidate should have:


	A recent Ph.D. in Mechanical Engineering or Aerospace Engineering or 
related fields
	Strong foundation in fluid mechanics and computational fluid dynamics 
(CFD)
	Strong experience in numerical methods, programming, and CFD code 
development 
	Strong experience in parallel computing and code development, especially 
using MPI.


Additionally, the successful candidate should preferably 
	Have sufficient knowledge of finite-element methods and solid mechanics
	Have experience in Immersed-boundary method and FSI modeling
	Have strong verbal and written communication skills
	Be creative and able to work as part of a multi-disciplinary group 
including graduate students, experimentalists in fluid mechanics, and 
researchers in medical science.

The initial appointment will be for one year, with the possibility of renewal 
based on satisfactory performance. The expectation is for the successful 
candidate to remain for a minimum of 2 years.

Institutional Information: Vanderbilt University is a private, internationally 
recognized research university located in Nashville, Tennessee, which has a 
metro population of 1.9 million people. The School of Engineering is located 
adjacent to the Vanderbilt University Medical Center, creating a rich 
environment for interdisciplinary and translational research. 

To Apply: Please provide (1) a cover letter (<2 pages) briefly summarizing your 
research interests and relevant background, (2) a full CV, (3) contact 
information for 3 references. Please direct emails and inquiries to Prof. 
Haoxiang Luo (haoxiang.luo@vanderbilt.edu). Applicants will be reviewed on a 
rolling basis until the position is filled.
EEO/AA Policy

At Vanderbilt University, we are intentional about and assume accountability for 
fostering advancement and respect for equity, diversity, and inclusion for all 
students, faculty, and staff. Our commitment to diversity makes us who we are.  
We have created a community that celebrates differences and lets individuality 
thrive. As part of this commitment, we actively value diversity in our workplace 
and learning environments as we seek to take advantage of the rich backgrounds 
and abilities of everyone. The diverse voices of Vanderbilt represent an 
invaluable resource for the University in its efforts to fulfill its mission and 
strive to be an example of excellence in higher education.

Vanderbilt University is an equal opportunity, affirmative action employer. 
Women, minorities, people with disabilities and protected veterans are 
encouraged to apply.

Please note, all candidates selected for an offer of employment are subject to 
pre-employment background checks, which may include but are not limited to, 
based on the role for which they have been selected: criminal history, education 
verification, social media review, motor vehicle records, credit history, and 
professional license verification.

MSc thesis student: High resolution simulation of heat transfer in sub-channel 
geometry


Background
The Nuclear Research and consultancy Group (NRG) is actively involved in several 
research projects in the nuclear field. A significant effort is dedicated to the 
investigation and development of cutting-edge methodologies that can be 
beneficial for the nuclear engineering community. One application is the high 
resolution simulation of heat transfer in a sub-channel geometry. Understanding 
the heat transfer from fuel rods to coolant is essential in efficient and safe 
operation of nuclear power plants.


Research Proposal
The proposed research will be part of NRG’s HIRES-X project. This project is a 
joint collaboration between NRG, TU Delft, Penn State University and 
Westinghouse. Its overall objective is the validation of high resolution 
simulation codes such as CaNS (developed by TUD) and Briscola (developed by 
NRG), and to compare performance against more established codes such as 
Nek5000/NekRS and OpenFOAM. This MSc. thesis project will deal with the OpenFOAM 
part, using the RKSymFoam solver developed by UPC and NRG 
(https://github.com/janneshopman/RKSymFoam).

The main goal is to perform simulation of heat transfer in sub-channel geometry 
using OpenFOAM. To this end, suitable simulation cases must be defined in 
agreement with other project partners. Next, the RKSymFoam solver must be 
extended to include the energy equation. Furthermore, further optimization of 
the efficiency of selected Runge-Kutta time integration scheme is foreseen. As a 
third step, appropriate meshes should be generated that are designed to 
accurately capture the relevant length scales. Finally, simulations are 
performed and accuracy is measured with as reference both very high resolution 
Nek5000 simulation data and established correlations from the literature 
(Dittus-Boelter).

The project location will be at the NRG|Pallas site in Petten, near Alkmaar, the 
Netherlands. NRG offers a monthly allowance as well as compensation for housing 
and transportation for the period of your stay. 


Objectives/Results
•	Literature review on high-resolution simulation of heat transfer in 
channel, duct and/or sub-channel geometry
•	Implementation and validation of the energy equation in RKSymFoam
•	Optimization of the efficiency of selected Runge-Kutta time integration 
scheme(s)
•	Simulation of heat transfer in selected sub-channel geometries for a 
range of meshes
•	Assessment of results and comparison with reference data and 
correlations


Your profile
•	MSc. student in applied science, with specialization in computational 
fluid mechanics
•	Good knowledge of turbulence modelling and numerical methods
•	Required computer experience: Linux, Windows, Python, C/C++, Git 
•	Fluency in written and spoken English
•	Excellent analytical and problem solving skills
•	An interest in scientific research and publication
•	Creativity, independence, dedication, and good communication and social 
skills
•	MSc thesis student from within the EU.


Our offer
•	A challenging thesis project to be executed within a successful team 
with an informal atmosphere and an excellent reputation
•	Strong support from enthusiastic members of the CFD team 
•	Monthly allowance/stipend
•	Housing and transportation compensation for the period of stay

Contact details and for more information
Dr.ir. Akshat Mathur
mathur@nrg.eu