A fully-funded PhD position, to work under the following project, is available 
immediately. 

Project Details
Oscillatory Channel Flows:
The objective of this research is to develop an understanding of the flow physics 
underlying the stability characteristics of the primary and secondary flows in 
wall-bounded turbulent channel flows with different oscillatory flow conditions, 
and to identify the potential of oscillatory flows in industrial piping systems.

Interested candidates, holding at least a 2:1 (or 60%) master’s degree in 
Aerospace Engineering, can send their CVs to fk1a15@soton.ac.uk

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Postdoctoral Fellows. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A two-year full-time Postdoctoral Researcher position is available. The research 
will involve investigation of iron-air turbulent flames. 

Required Qualifications
• A Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• A candidate must have received their doctoral degree within five years prior 
to the start of the fellowship. 
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Extensive knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Postdoctoral Fellows. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A two-year full-time Postdoctoral Researcher position is available. The research 
will involve development of innovative numerical methods for simulating high-
speed penetration. 

Required Qualifications
• A Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• A candidate must have received their doctoral degree within five years prior 
to the start of the fellowship 
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Extensive knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Ph.D. students. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A full-time Ph.D. student position is available. The research 
will involve investigation of iron-air turbulent flames. 

Required Qualifications
• An M.Sc. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Ph.D. Students. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A fully funded Ph.D. student position is available. The research 
will involve development of innovative numerical methods for simulating high-
speed penetration. 

Required Qualifications
• An M.Sc. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

Are you passionate about, and do you have in-depth experience of, CFD? Do you enjoy a challenge? Would you like a change? Would you like to create a, new, position and develop it? CHAM (Concentration Heat and Momentum Limited) has an opportunity for an Engineer with a passion for CFD and an equal passion for generating business opportunities. If this sounds like you, please read on and consider joining our technical team based in Wimbledon, London (www.cham.co.uk). It is a great place to work.


Description

CHAM is looking for an Engineer who is enthusiastic, experienced, customer- and results-focussed; an Engineer who will bring an additional skill-set to, and collaborate with, our inclusive, technical, team. We are looking for someone with a strong passion for, and knowledge of, CFD; someone who enjoys helping others solve problems using this knowledge within a commercial environment. Someone who is looking for new challenges interacting with new colleagues and sharing knowledge and experiences with new clients.

“Our” Consultancy Engineer will be a quick learner who is positive about the challenge of working in a small company, generating consultancy projects in the current (less than ideal) economic environment, interacting with colleagues in Product Development, User Support, and Marketing; and being exposed to, and involved in, a broad range of technical, sales, and client- facing, activities. We need someone who will manage time and concentrate on revenue generation as well as technical activities. 

Whilst the position involves multitasking, the main focus is outward facing and – extremely - pro-active. It involves using PHOENICS and other CHAM products, to generate and undertake Consultancy projects for clients with varied needs who seek expert help to realize and test their ideas and bring viable products to market. Our Engineer will find these clients and create business opportunities.
 

Challenges and Responsibilities

    • Using technical expertise, interpersonal skills and best practices to obtain, and complete, consultancy work worldwide.
    • Understanding it is essential to market CHAM and collaborating with marketing colleagues to facilitate this.
    • Working with our Sales Manager to provide potential clients with technical, and costed, specifications.
    • Interacting with clients re project completion, writing final reports supporting results obtained, filing reports/ related models on the CHAM system for easy retrieval/ reference, recording time taken and hours charged.
    • Interacting with CHAM technical staff who have extensive experience of CFD and PHOENICS and can assist in deciding the optimum way to carry out consultancy projects. Company-wide collaboration and communication are crucial.
    • Documenting all aspects of work undertaken to a high literary, and visual, standard.
    • Performing all tasks to commercially acceptable standards and within prescribed time frames.
 

Necessary Qualifications:

    • Good BSc (minimum) or MSc in CFD, Mechanical, Aeronautical or other related Engineering fields.
    • Significant knowledge of, and experience with, the wider field of Computational Fluid Dynamics (CFD).
    • Meaningful knowledge and hands-on experience of CFD software. Knowing PHOENICS is ideal; if not, other mainstream CFD-Code experience is essential.
    • Current, legal, unrestricted right to work in the UK.


Desirable Qualifications:

    • Experience of CFD Consultancy projects with a team of Engineers in a commercial environment.
    • Flexibility, proactivity and resourcefulness, plus excellent analytical and problem-solving skills.
    • Ability to perform multiple tasks on time, to prioritise and record work, and to keep senior staff informed.
    • Excellent communication skills (verbal and written) including experience with Word and Excel and the ability to create reports to a professional standard.
    • Ability, and desire, to work in a small, collaborative, team environment.
    • Experience with Project Management Software and the ability to work within such requirements.
 

If you know CFD you will have heard of Spalding, CHAM, and PHOENICS. PHOENICS is the original general-purpose CFD code created by Professor Brian Spalding, founding father of CFD. It has been developed, tested, validated, and extended over four decades – until 2016 by its originator with his CHAM team. Since then, by that team (John Ludwig & Michael Malin who worked on its inception and younger members). It has the longest CFD history, a large, diverse, international user base, CHAM strives always, using PHOENICS, to enable our commercial, R&D, and academic, clients to respond effectively, efficiently, innovatively, and quickly to problems which fave the world today in environment and engineering and which involve fluid flow, heat transfer, combustion, and chemical reaction processes whether they use our software themselves or avail themselves of our Consultancy expertise.


CHAM offers competitive salary and benefits. Applicants (who – to repeat - must have the current legal right to work in the UK without restriction) are invited to send their CV with a cover letter outlining their qualifications, enthusiasm, and suitability for this position, to hr@cham.co.uk with the subject heading “Consultancy Engineer Application – (Your Name)”.

A postdoctoral position (Principal Project Scientist) is available at the 
department of Applied Mechanics, IIT Delhi. This position is funded by the Renew 
Power Center of Excellence for Energy and Environment. The project involves 
performing CFD of wind turbines in a wind farm, and may also involve field 
experiments. Pay scale will be commensurate with official IIT Delhi norms. 
Candidates interested in this position may email their resumes and a short cover 
letter to Dr. Amitabh Bhattacharya (Associate Professor, Applied Mechanics, IITD) 
via the email ID given in contact information. 

Minimum qualification: Ph.D. in Mechanical/Aerospace/Chemical Engineering/Energy 
Sciences with a focus on Computational Fluid Dynamics (CFD) and turbulence. 
Candidate should have experience using OpenFOAM and performing Large Eddy 
Simulations (LESs). C++ programming skills are required for this position. 
Candidate should have international peer reviewed journal publications in areas 
related to CFD, LES and turbulence. Strong background in wind energy and 
atmospheric sciences is also desirable.  

Founded in 1894, City, University of London is a global university committed to 
academic excellence with a focus on business and the professions and an enviable 
central London location.

City attracts around 20,000 students (over 40% at postgraduate level), from more 
than 150 countries and staff from over 75 countries.

In the last decade City has almost tripled the proportion of its total academic 
staff producing world-leading or internationally excellent research. During this 
period City has made significant investments in its academic staff, its estate 
and its infrastructure and continues to work towards realising its vision of 
being a leading global university.

Background 
This PhD studentship is funded by CERES - Industrial Consortium for Compressors 
and Expanders in Future Energy Systems.
https://blogs.city.ac.uk/ceres/

The Centre for Compressor Technology started the Industrial Consortium to create 
a network of partners for addressing global challenges by performing world-
leading research in compression and expansion technologies for future energy 
systems and expanding the scope by sourcing funds from research councils.

http://researchcentres.city.ac.uk/thermo-fluids/compressor-technology

The PhD project, entitled 

"Lubricants for oil-injected positive displacement machines”,

is focused on creating an analytical and/or numerical tool for selection and 
evaluation of lubricants for future positive displacement machines in carbon 
neutral energy systems. The aimed output of the project is guidelines for using 
novel lubricants for PDMs in such systems.

Responsibilities 
The PhD student will work closely with the world leading experts in modelling of 
rotating machinery under the Chair. The overall objective is to set criteria for 
defining new carbon neutral lubricants for positive displacement machines and 
develop requirements and tools for selecting lubricants for new generation of 
environmentally friendly positive displacement machines.

Person Specification 
It is expected that the candidate has a good mathematical background, excellent 
knowledge of thermodynamics and fluid mechanics and holds a Master’s degree in 
mechanical engineering or related discipline. Good skills in using programming 
languages such as Python or similar are desired. The candidate is expected to 
have a positive attitude toward teamwork, ability to work proactively and 
independently and has motivation to learn and contribute to this 
multidisciplinary project.

Closing date for applications: 17:00 on 25th June 2022

Salary: £17.5K per year, 3 years plus travel budget.

Interviews will be held week commencing 27th June 2022

The role is available from July 2022

Actively working to promote equal opportunity and diversity

Academic excellence for business and the professions

Founded in 1894, City, University of London is a global university committed to 
academic excellence with a focus on business and the professions and an enviable 
central London location.

City attracts around 20,000 students (over 40% at postgraduate level), from more 
than 150 countries and staff from over 75 countries.

In the last decade City has almost tripled the proportion of its total academic 
staff producing world-leading or internationally excellent research. During this 
period City has made significant investments in its academic staff, its estate 
and its infrastructure and continues to work towards realising its vision of 
being a leading global university.

Background 
This PhD studentship is funded by CERES - Industrial Consortium for Compressors 
and Expanders in Future Energy Systems.
https://blogs.city.ac.uk/ceres/

The Centre for Compressor Technology started the Industrial Consortium to create 
a network of partners for addressing global challenges by performing world-
leading research in compression and expansion technologies for future energy 
systems and expanding the scope by sourcing funds from research councils.

http://researchcentres.city.ac.uk/thermo-fluids/compressor-technology

The multidisciplinary PhD project, entitled 

“Artificial Intelligence tools for accelerated performance predictions and 
design in compressor systems”,

is focused on creating a smart tool that yields new blade profiles with 
specified performance metrics and operating and manufacturing constraints. The 
key outcomes of the proposed project are an alternative AI-based analysis tool 
for performance analysis of compressor systems and a first-of-its-kind smart 
generative tool for novel rotor designs using AI.

Responsibilities 
The PhD student will work closely with the world leading experts in applied 
machine learning, artificial intelligence and modelling of rotating machinery 
under the Chair. The overall objective is to realise a smart tool that yields 
new blade profiles with specified performance metrics and operating and 
manufacturing constraints and validate these methods with the experimental 
results obtained in the state-of-the-art laboratory within the Centre for 
Compressor Technology and the Thermo-Fluids Research Centre.

Person Specification 
It is expected that the candidate has a good mathematical background, experience 
in artificial intelligence, knowledge of thermodynamics and fluid mechanics, has 
good skills in using programming languages such as Python or similar. A Master’s 
degree in mechanical engineering or related discipline with prior experience in 
using machine learning tools such as Tensorflow/Keras is advantageous. The 
candidate is expected to have a positive attitude to teamwork, ability to work 
proactively and independently and has motivation to learn and contribute to this 
multidisciplinary project.

Closing date for applications: 17:00 on 25th June 2022

Salary: £17.5K per year, 3 years plus travel budget.

Interviews will be held week commencing 27th June 2022

The role is available from July 2022

Actively working to promote equal opportunity and diversity

Academic excellence for business and the professions

This postdoc is about the optimization of an Immersed boundary Method (IBM) library for the analysis of wall-bounded turbulent flows. 
It is for a duration of 17 months. There are two partners in this project: R.Tech R&D company, located in Verniolle, France, and Institut PPRIME, located in Poitiers, France. 
The postdoc will be mainly based in Verniolle (Toulouse area) and pay some regular visits to the team at Institut PPRIME.

Candidate’s profile: the candidate must have strong competences in the numerical simulation of turbulent flows. 
A PhD degree in this area of expertise is required. Previous experience using IBM would be a plus.

IMPORTANT : ELIGIBILITY CRITERION: due to the way the funding has been obtained, the candidate:
1. must be a French national citizen with a PhD 
and/or 
2. has obtained a PhD in a French Institution. 
In any case, the PhD diploma must have been delivered in 2021 or 2022. These eligibility criteria are mandatory.

Scientific Context:
The present research work aims at improving the analysis of complex flow around bodies at high speed, including configurations such as space vehicles, using numerical simulations. 
For these flows, the accurate prediction of several aspects such as shock waves, heat transfer, turbulence, and surface deterioration are crucial. The boundary of the objects should also be taken into account in a satisfactory manner. 
To do so, an immersed boundary method (IBM) over a Cartesian grid has been preferred to a classical body-fitted approach. 
The latter suffers from several disadvantages, not the least being that the numerical cost would be prohibitive for a moving object. 
R.Tech has developed a library called CYCLONE to include bodies within the computational domain by using the IBM forcing method [1-2]. 
The objective of this postdoc position is to improve this library, possibly by incorporating a different type of IBM method, such as the sharp interface method [3-4], which is presently under investigation at Pprime Institute. 
This should lead to an increase of the order of accuracy of the CYCLONE library.

Objectives: the work of the candidate will aim for the development of three synergic tasks, which are listed in the following:
1. Implementation of an interface between the library CYCLONE and an in-house code at Pprime Institute [5].
2. Development of several physical models within the library, which aim to improve the accuracy of the IBM method.
3. Validation of the models developed with application to test cases, such as a heated cylinder [6].

References
[1] A. Pinelli, I. Naqavi, U. Piomelli et J. Favier, «Immersed Boundary Method for generalised Finite Volume and finite Difference Navier-Stokes Solvers.,» Journal of Computational Physics, vol. 229, n° 124, pp. 9073-9091, 2010.
[2] E. Constant, J. Favier, M. Meldi, P. Meliga et E. Serre, «An immersed boundary method in OpenFOAM : Verification and validation,» Computers & Fluids, vol. 157, pp. 55-72, 2017
[3] R. Ghias, R. Mittal et H. Dong, «A sharp interface immersed boundary method for compressible viscous flows,» J. Comput. Phys., vol. 225, p. 528–553, 2007.
[4] J. H. Seo et R. Mittal, «A high-order immersed boundary method for acoustic wave scattering and low-Mach number flow-induced sound in complex geometries,» Journal of Computational Physics, vol. 230, p. 000–1019, 2011.
[5] Sebastian R, Marx D, Fortuné V, Numerical simulation of a turbulent channel flow with an acoustic liner, J. Sound Vib. 456, 306-330 (2019).
[6] J. G. Wissink et W. Rodi, «Direct numerical simulation of heat transfer from the stagnation region of a heated cylinder affected by an impinging wake,» J. Fluid Mech., vol. 669, p. 64–89, 2011.