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[Sponsors] |
Job Record #17817 | |
Title | PhD Student Position |
Category | PhD Studentship |
Employer | Kok Foo Ngai |
Location | Malaysia, Johor, Johor Bahru |
International | Yes, international applications are welcome |
Closure Date | Wednesday, June 01, 2022 |
Description: | |
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 Mechanical or Aerospace Engineering, should send their CVs to fk1a15@soton.ac.uk |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17817 when responding to this ad. | |
Name | Kok Foo Ngai |
fk1a15@soton.ac.uk | |
Email Application | Yes |
Address | Block C 17-02, Impiana Apt, East Ledang, Nusajaya |
Record Data: | |
Last Modified | 05:40:52, Friday, May 27, 2022 |
Job Record #17746 | |
Title | Postdoctoral Fellow Position: Iron-Air Turbulent Flames |
Category | PostDoc Position |
Employer | Tel Aviv University, School of Mechanical Engineering |
Location | Israel, Tel Aviv |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17746 when responding to this ad. | |
Name | Yoram Kozak |
kozaky@tauex.tau.ac.il | |
Email Application | Yes |
URL | https://www.yoramkozak.sites.tau.ac.il |
Record Data: | |
Last Modified | 22:08:26, Thursday, May 26, 2022 |
Job Record #17730 | |
Title | Postdoctoral Fellow Position: High-Speed Penetration |
Category | PostDoc Position |
Employer | Tel Aviv University, School of Mechanical Engineering |
Location | Israel, Tel Aviv |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17730 when responding to this ad. | |
Name | Yoram Kozak |
kozaky@tauex.tau.ac.il | |
Email Application | Yes |
URL | https://www.yoramkozak.sites.tau.ac.il |
Record Data: | |
Last Modified | 22:08:11, Thursday, May 26, 2022 |
Job Record #17747 | |
Title | Ph.D. Student Position: Iron-Air Turbulent Flames |
Category | PhD Studentship |
Employer | Tel Aviv University, School of Mechanical Engineering |
Location | Israel, Tel Aviv |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17747 when responding to this ad. | |
Name | Yoram Kozak |
kozaky@tauex.tau.ac.il | |
Email Application | Yes |
URL | https://www.yoramkozak.sites.tau.ac.il |
Record Data: | |
Last Modified | 22:07:50, Thursday, May 26, 2022 |
Job Record #17745 | |
Title | Ph.D. Student Position: High-Speed Penetration |
Category | PhD Studentship |
Employer | Tel Aviv University, School of Mechanical Engineering |
Location | Israel, Tel Aviv |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17745 when responding to this ad. | |
Name | Yoram Kozak |
kozaky@tauex.tau.ac.il | |
Email Application | Yes |
URL | https://www.yoramkozak.sites.tau.ac.il/ |
Record Data: | |
Last Modified | 22:07:32, Thursday, May 26, 2022 |
Job Record #17795 | |
Title | Business Creation Consultancy Engineer |
Category | Job in Industry |
Employer | Concentration, Heat and Momentum Limited |
Location | United Kingdom, London, Wimbledon |
International | No, only national applications will be considered |
Closure Date | * None * |
Description: | |
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)”. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17795 when responding to this ad. | |
Name | Human Resources |
hr@cham.co.uk | |
Email Application | Yes |
URL | https://www.cham.co.uk/ |
Address | Concentration, Heat and Momentum Limited (CHAM), Bakery House, 40 High Street, Wimbledon Village, London SW19 5AU |
Record Data: | |
Last Modified | 18:25:23, Thursday, May 26, 2022 |
Job Record #17816 | |
Title | Principal Project Scientist (CFD of wind farms) |
Category | PostDoc Position |
Employer | IIT Delhi |
Location | India, Delhi, New Delhi |
International | No, only national applications will be considered |
Closure Date | Monday, June 20, 2022 |
Description: | |
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. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17816 when responding to this ad. | |
Name | Amitabh Bhattacharya |
bhattach@iitd.ac.in | |
Email Application | Yes |
Record Data: | |
Last Modified | 14:32:28, Thursday, May 26, 2022 |
Job Record #17815 | |
Title | Lubricants for oil-injected positive displacement machines |
Category | PhD Studentship |
Employer | City, University of London |
Location | United Kingdom, London |
International | Yes, international applications are welcome |
Closure Date | Saturday, June 25, 2022 |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17815 when responding to this ad. | |
Name | Ms Ivona Ivkovic-Kihic |
ivona.ivkovic-kihic@city.ac.uk | |
Email Application | Yes |
URL | https://blogs.city.ac.uk/ceres/ |
Record Data: | |
Last Modified | 14:15:34, Thursday, May 26, 2022 |
Job Record #17814 | |
Title | Artificial Intelligence tools for Compressors |
Category | PhD Studentship |
Employer | City, University of London |
Location | United Kingdom, London |
International | Yes, international applications are welcome |
Closure Date | Saturday, June 25, 2022 |
Description: | |
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 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17814 when responding to this ad. | |
Name | Ms Ivona Ivkovic-Kihic |
ivona.ivkovic-kihic@city.ac.uk | |
Email Application | Yes |
URL | https://blogs.city.ac.uk/ceres/ |
Record Data: | |
Last Modified | 14:14:04, Thursday, May 26, 2022 |
Job Record #17813 | |
Title | Immersed boundary method for turbulent wall flows |
Category | PostDoc Position |
Employer | R'Tech + Institut PPRIME |
Location | France, Verniolles |
International | Yes, international applications are welcome |
Closure Date | Tuesday, August 30, 2022 |
Description: | |
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. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #17813 when responding to this ad. | |
Name | David Marx |
david.marx@univ-poitiers.fr | |
Email Application | Yes |
URL | https://pprime.fr/emploi/postdoc-offer-2022-optimization-of-an-immersed-boundary-method-ibm-library-for-the-analysis-of-wall-bounded-turbulent-flows/ |
Record Data: | |
Last Modified | 09:16:40, Thursday, May 26, 2022 |