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[Sponsors] |
Job Record #19275 | |
Title | PhD position at IUSS of Pavia |
Category | PhD Studentship |
Employer | IUSS of Pavia - CARISMA research centre |
Location | Italy, Pavia |
International | Yes, international applications are welcome |
Closure Date | Monday, July 29, 2024 |
Description: | |
Description of the research topic Air pollution is estimated to cause 4.2 million premature deaths worldwide in 2016, and in 2019 almost 99% of the world's population breathed air exceeding the guideline limits. Pollution from traffic emissions as well as industries represent a serious treatment for the outdoor-indoor air quality and heath of people. In particular, the aerosol particle dispersion induced by external atmospheric wind is regarded as one of the main air pollutants. Aerosol particles can survive for a certain time and travel through indoor air currents, especially in buildings not equipped with an efficient mechanical ventilation system (MVS). To improve the air quality, more efficient and greener MVS can be installed, however, most of the times this is not duable in a large range of buildings. Air cleanings (AC) could be adopted instead, however, it is still not sufficiently clear how MVS and AC can improve the indoor air quality by reducing the aerosol particle concentration induced by atmopsheric winds. The goal of this project is to evaluate ventilation strategies that allow preventing risk exposure of people while reducing energy consumption. Scenarios including different workspaces (as office and classrooms) will be analyzed by laboratory measurements and simulations of computational fluid dynamics to understand benefits/limitations of AC and MVS. Recommendations towards a sustainable development of buildings and work activities will be proposed. Research team and environment The PhD candidate will carry out research study of three years at IUSS of Pavia, in the CARISMA group, in close collaboration with the international company PlasmaMade (Netherlands) leader in the field of air cleaning, pollutant reduction, mitigation and risk management for the health and security work. The student will be co- supervised by Dr. Alessio Ricci from IUSS (Italy), prof. Bert Blocken from Heriot-Watt University (UK) and an expert from the international company PlasmaMade (Netherlands). The candidate will benefit from the extensive experience of these teams in climatology, measuring/modeling of atmospheric winds and aerosol concentration, air quality assessment, risk management of natural and anthropogenic hazards. Suggested skills for this research topic The candidate should have knowledge of computational fluid dynamics (CFD), finite volume method, data analysis and statistics. Programming skills in Matlab/Python/C++ and knowledge of signal processing could also be beneficial. Team working attitude and excellent knowledge of spoken and written English are highly required. Application procedure PhD announcement at the official page of the National Doctoral School in "Sustainable Development and Climate Change (PhD-SDC)", scholarship code "C40.CU1.16": https://cdn.prod.website- files.com/6385bb3cf3f99b869a10cf43/667d0f9fbbc3503f2684e52a_PhD%20SDC%20Call%2040% 20Cycle.pdf How to apply: https://pica.cineca.it/iuss/dottorato-40/ Deadline for application: 29th of July 2024. More information about the national doctoral school in "Sustainable Development and Climate Change (PhD-SDC)" can be found at: https://www.phd-sdc.it/ For more information about this vacancy, please contact alessio.ricci@iusspavia.it |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19275 when responding to this ad. | |
Name | Alessio Ricci |
alessio.ricci@iusspavia.it | |
Email Application | No |
Record Data: | |
Last Modified | 22:44:48, Thursday, July 25, 2024 |
Job Record #19302 | |
Title | (PhD) Scientist - CFM and ROM |
Category | Job in Industry |
Employer | Research Center Pharmaceutical Engineering GmbH |
Location | Austria, Styria, Graz |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
The Research Center Pharmaceutical Engineering GmbH (RCPE) is a global leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes. For our team / area 1 "Science of Quality" we are looking for an active highly qualified (m/f/x) SCIENTIST (with possibility to do a PhD) Computational Fluid Mechanics and Reduced-Order Modeling Ref.No. SK113 Duties and responsibilities: Develop and apply methods simulate filtration processes for protein fractionation that take into account the fluid mechanics of the process including the filter cake: o Developing competence in fluid mechanics o Learning numerical methods and computational fluid dynamics (CFD) o Learning to develop user-defined submodel for CFD simulations o Setting up models for multiphase CFD simulations o Performing and analyze multiphase CFD simulations o Developing reduced-order models based on CFD simulation results o Actively participating in project teams and scientific networks o Writing project reports and publish research in reputed journals o Presenting results at internal meetings at international conferences partners and colleagues Requirements: o A technical or natural scientific MS degree and interest in pursuing a PhD degree o Interest in performing research at the interface of basic science and industrial application o Professional conduct and communication skills in dealing with international clients, partners and colleagues o Interest and experience in performing top-level and target-oriented research at the interface of basic science and industrial application We offer: o A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology o Opportunities for career development at the academic and industrial level o A competitive salary (min. € 42.000,- gross/year, overpayment - depending on qualification - possible). o Possibility to work part-time At RCPE, we place a strong emphasis on promoting diversity and inclusion. We are also committed to encouraging women to explore opportunities within our technical environment. We actively encourage applications from women and, when candidates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications. We are looking forward to receiving your application via our website including your CV and a cover letter. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19302 when responding to this ad. | |
Name | Sandra Sünkel |
sandra.suenkel@rcpe.at | |
Email Application | No |
URL | http://careers.rcpe.at/ |
Record Data: | |
Last Modified | 10:12:30, Thursday, July 25, 2024 |
Job Record #19301 | |
Title | (PhD) Scientist - Computational Fluid Mechanics |
Category | Job in Industry |
Employer | Research Center Pharmaceutical Engineering GmbH |
Location | Austria, Styria, Graz |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
The Research Center Pharmaceutical Engineering GmbH (RCPE) is a global leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes. For our team / area Science of Quality we are looking for an active, highly qualified (PhD) SCIENTIST Computational Fluid Mechanics Ref.No SK114 Duties and responsibilities: Develop and apply simulation methods for freeze drying (lyophilization) processes, including equipment- and vial-scale CFD (computational fluid dynamics) models as well as reduced-order models and digital twins based on those simulations. Activities will focus on the improvement and development of simulation methods that take into account the elements of freeze-drying processes, including: o Developing competence in fluid mechanics o Learning numerical methods and computational fluid dynamics o Setting up, performing and analyzing computational fluid dynamics models for rarified multi-component flow o Developing reduced-order models based on results from computational fluid dynamics simulations o Actively participating in project teams and scientific networks o Writing project reports and publishing research in reputed journals o Presenting results at internal meetings and at international conferences with partners and colleagues Requirements: o A technical or natural scientific MS degree (e.g. chemical engineering, mechanical engineering, mathematics, physics, …) and interest in pursuing a PhD degree o Knowledge in CFD modeling as well basic knowledge in programing languages (Phyton, C++) as an advantage o Interest in performing research at the interface of basic science and industrial application o Professional conduct and communication skills in dealing with international clients, partners and colleagues o Interest and experience in performing top-level and target-oriented research at the interface of basic science and industrial application We offer: o A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology o Opportunities for career development at the academic and industrial level o A competitive salary (min. € 42.000,- gross/year, overpayment - depending on qualification - possible). o Possibility to work part-time At RCPE, we place a strong emphasis on promoting diversity and inclusion. We are also committed to encouraging women to explore opportunities within our technical environment. We actively encourage applications from women and, when candidates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications. We are looking forward to receiving your application via our website including your CV and a cover letter. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19301 when responding to this ad. | |
Name | Sandra Sünkel |
sandra.suenkel@rcpe.at | |
Email Application | No |
URL | http://careers.rcpe.at/ |
Record Data: | |
Last Modified | 09:55:50, Thursday, July 25, 2024 |
Job Record #19300 | |
Title | Fully Funded PhD: Understanding Loss Mechanisms in RDEs |
Category | PhD Studentship |
Employer | University of Southampton |
Location | United Kingdom, Hampshire, Southampton |
International | Yes, international applications are welcome |
Closure Date | Saturday, August 31, 2024 |
Description: | |
The rotating detonation engine (RDE) has emerged as a feasible design to employ
pressure-gain combustion in a highly compact and energy-dense rocket engine.
Funded by the UK Space Agency (UKSA), a PhD opportunity is available to work on
understanding the detailed loss mechanisms affecting the combustion in a
laboratory RDE by comparing experiment and numerical simulation. We are the only
UK rocket researchers investigating RDEs (see HERE)
and this studentship will be embedded into UKSA’s prestigious Rocketry Research
Teaching Training Hub (R2T2). In an RDE, one or multiple detonation waves propagate azimuthally within an annular combustion chamber. The rotating waves are maintained by feeding fuel and oxidiser continuously from a plenum. The number of simultaneously propagating detonations in an RDE is strongly dependent on the detailed local injection conditions, and in general forecasting its exact behaviour is difficult. There are presently no models for predicting RDE propulsion performance reliably. A final-year undergraduate student group has recently designed a modular water- cooled RDE rocket engine demonstrator capable of mass flows of at least 50g/s total (cf. UoS DesignShow->RDE). This PhD project will design and install an upgraded propellant delivery system in our Jet Propulsion Laboratory and then set up this new water-cooled RDE experiment. The instrumentation will have to be refined and especially the acquisition of trustworthy high-frequency pressure transducer signals from within the engine will have to be improved. Different hydrocarbon fuels such as methane, propane and ethylene will be tested primarily with gaseous oxygen. Corresponding three-dimensional simulations with our inhouse software AMROC will also be employed in this project to model the rotating detonation waves in the chamber and quantify the influence of non- idealities on combustion efficiency and engine performance, including turbulent mixing, heat loss and in particular wall friction. Our parallel and adaptive inhouse software AMROC is among the most capable solvers for detonation simulation world-wide, and a recently concluded PhD project has developed a 3D code version in cylindrical coordinates specifically for RDE simulation (see HERE). This project is suitable for a student of aerospace engineering who wants to specialise in rocket propulsion. Experience with experimental work as well as computational fluid dynamics is paramount. Very good design skills to revise and improve the engine over time as well as some programming in Fortran/C++ are required. Participation in R2T2 events, including a 3-months industrial internship in rocketry, is expected. Entry Requirements: A very good undergraduate degree (at least a UK 2:1 honours degree). International applicants require the equivalent of a UK 1st class degree to be eligible for a waiver of the difference between UK and international tuition fees. Funding: For UK students, Tuition Fees and stipend of £18,622 tax-free per annum for up to 4 years. A generous experimental and training budget is in addition provided by the sponsor. How to apply: Apply online: HERE Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Ralf Deiterding |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19300 when responding to this ad. | |
Name | Ralf Deiterding |
r.deiterding@soton.ac.uk | |
Email Application | Yes |
Phone | 02380593384 |
URL | https://www.jobs.ac.uk/job/DIT009/phd-studentship-understanding-loss-mechanisms-in-rotating-detonation-rocket-engines |
Address | Boldrewood Innovation Campus Building 176, Room 5059 Burgess Road Southampton SO16 7QF, United Kingdom |
Record Data: | |
Last Modified | 15:24:38, Tuesday, July 23, 2024 |
Job Record #19108 | |
Title | AI Engineer |
Category | Job in Industry |
Employer | Simerics, Inc. |
Location | United States, Washington, Bellevue |
International | No, only national applications will be considered |
Closure Date | * None * |
Description: | |
Simerics Inc. is a global technology company that develops, markets, and supports Computational Fluid Dynamics (CFD) 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, and automated mesh/re-mesh for moving components. With our continued expansion in the industry, we are seeking applications for an AI Engineer who will work on implementing the companies’ generative AI developments under the guidance of the development team. • Use Python to implement generative AI solutions for Simerics-MP+ • Keep abreast of the latest developments in the field of generative AI • Identify the most promising approaches and update according to the evolution of the field • Develop a strong understanding for a variety of CFD applications such as pumps, valves, vehicles, marine etc… • Develop proposals for future work • Collaborate with project and sales engineers to incorporate inputs into the solution Required qualifications: • A Bachelors degree in engineering, mathematics, physics, or a similar discipline. • Background and coursework in fluids/thermal field. • Excellent and demonstrable command of Python. • Exposure to advanced engineering simulation tools. Not required, but beneficial: • Exposure to performing development using generative AI will be a major plus: LLMs, fine-tuning, retrieval augmented generation (RAG) etc… • Masters degree in engineering, mathematics or physics with fluids/thermal emphasis. • Prior experience performing software development using Python. • Knowledge of machine learning and specifically, deep learning. Salary and Benefits: • We sponsor H1-B working visa, but only the candidates in the US will be considered at this time. • Family general, dental and vision insurance. • Bonus based on performance. • 401-K match. If interested, please send your resume to Dr. Sujan Dhar, at sd@simerics.com. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19108 when responding to this ad. | |
Name | SUJAN DHAR |
sd@simerics.com | |
Email Application | Yes |
Phone | 2485133200 |
URL | http://www.simerics.com |
Record Data: | |
Last Modified | 15:02:56, Tuesday, July 23, 2024 |
Job Record #19107 | |
Title | Project Engineer |
Category | Job in Industry |
Employer | Simerics, Inc. |
Location | United States, Michigan, Novi |
International | No, only national applications will be considered |
Closure Date | * None * |
Description: | |
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. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19107 when responding to this ad. | |
Name | CHIRANTH SRINIVSAN |
cs@simerics.com | |
Email Application | Yes |
Phone | 4053089420 |
URL | http://www.simerics.com |
Record Data: | |
Last Modified | 15:02:22, Tuesday, July 23, 2024 |
Job Record #19299 | |
Title | Development Engineer - GPU |
Category | Job in Industry |
Employer | Simerics, Inc. |
Location | United States, Washington, Bellevue |
International | No, only national applications will be considered |
Closure Date | * None * |
Description: | |
Simerics Inc. is a global technology company that develops, markets, and supports Computational Fluid Dynamics (CFD) 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, and automated mesh/re-mesh for moving components. With our continued expansion in the industry, we are seeking applications for a Software Developer with experience in GPU development. The primary tasks associated will be • Design the framework and architect Simerics’ GPU solvers • Accelerate the implementation of multi-GPU simulation methods and algorithms • GPU-specific algorithm developments for our physics solvers and mesh generators • Validation and verification of all developments and benchmarking of implementations Required qualifications: • Experience in commercial or academic CFD software development with a focus on High Performance Computing • Extensive and demonstrable experience in CFD code development for GPUs • Hands-on experience with libraries such as (but not limited to) CUDA, Kokkos, OneAPI etc… Not required, but beneficial: • Broad knowledge of the state-of the-art in GPU code development for computational physics. • Strong programming knowledge and experience using C++ • Clear understanding of fluid mechanics, heat transfer and other major physics in CFD software • Graduate degree in engineering, mathematics or physics with fluids/thermal emphasis. Salary and Benefits: • We sponsor H1-B working visa, but only the candidates in the US will be considered at this time. • Family general, dental and vision insurance. • Bonus based on performance. • 401-K match. If interested, please send your resume to Dr. Sujan Dhar, at sd@simerics.com. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19299 when responding to this ad. | |
Name | SUJAN DHAR |
sd@simerics.com | |
Email Application | Yes |
Record Data: | |
Last Modified | 15:01:36, Tuesday, July 23, 2024 |
Job Record #19298 | |
Title | Funded PhD Studentship - Modelling combustion in blast tubes |
Category | PhD Studentship |
Employer | Kingston University London |
Location | United Kingdom, London |
International | No, only national applications will be considered |
Closure Date | Friday, August 16, 2024 |
Description: | |
Fully funded PhD Studentship - Modelling and numerical simulation of fuel combustion in a blast tube. To apply: https://www.findaphd.com/phds/project/modelling-and-numerical- simulation-of-fuel-combustion-in-a-blast-tube/?p87745 Gaseous detonation and the resulting blast waves pose significant risks to both people and facilities. Accurate modelling of these phenomena is crucial for safety assessments and risk mitigation. This full-time PhD project is funded by AWE (Atomic Weapons Establishment), in collaboration with Kingston University London, to tackle some complexities and advance the understanding of detonation and blast waves from fuel combustion in tunnels. The research project will involve the development and implementation of combustion and fluid dynamics models, and numerical approaches, within the frame of computational Fluid dynamics (CFD). The project will also involve CFD simulations and validation of the models using experimental data. A general understanding and familiarity with CFD is a requirement for this role. Details of the project can be discussed upon request. For further details and to discuss a prospective application, please contact: Dr Siaka Dembele s.dembele@kingston.ac.uk Eligibility: UK Citizens only can apply for this position. We are looking for an excellent, enthusiastic, independent and self-motivated candidate, holding a Master’s degree (e.g. MSc) with Distinction or Merit or a 4-year undergraduate (e.g MEng) First Class or Upper Second Honours in a relevant subject, e.g. Fire Engineering, Fluid Dynamics, Mechanical Engineering, Physics or a related field. Applicants are expected to have an enquiring and rigorous approach to research, and should demonstrate excellent teamwork, communication and reports writing skills. Familiarity with the opensource OpenFOAM code would be an advantage. Deadline for applications: 1300 GMT on 16 August 2024 Interviews (to be confirmed): online in mid to late September 2024 Start date (to be confirmed): Early October 2024 Duration: 4 years full-time |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19298 when responding to this ad. | |
Name | Dr Siaka Dembele |
s.dembele@kingston.ac.uk | |
Email Application | No |
URL | https://www.findaphd.com/phds/project/modelling-and-numerical-simulation-of-fuel-combustion-in-a-blast-tube/?p87745 |
Record Data: | |
Last Modified | 13:40:23, Tuesday, July 23, 2024 |
Job Record #19297 | |
Title | CFD for Wastewater Disinfection Process Analysis |
Category | Internship |
Employer | USP Technologies / Western University |
Location | Canada, Ontario, London |
International | No, only national applications will be considered |
Closure Date | Saturday, August 31, 2024 |
Description: | |
Post-Doctoral Position in Applied CFD for Wastewater Disinfection Process Analysis We are pleased to announce a 12-month post-doctoral position for a highly qualified individual with expertise in applied Computational Fluid Dynamics (CFD), specifically using Ansys Fluent. This position is part of a WRF project entitled "Performic Acid Disinfection in Wastewater Effluent and CSOs in Context of Disinfection By-Products and Future Ambient Water Quality Criteria for Viruses" and involves conducting advanced modeling studies on pilot and full- scale disinfection facilities. The research will integrate chemical decomposition/decay, microbial inactivation kinetics, and reactor hydraulics within both deterministic and stochastic frameworks. Key Responsibilities: • Conducting CFD modeling studies using Ansys Fluent. • Integrating chemical decomposition/decay processes, microbial inactivation kinetics, and reactor hydraulics in models. • Developing and validating models for both pilot and full-scale disinfection facilities. Qualifications: • Expertise in applied CFD, particularly with Ansys Fluent. • Experience with reactive fluids and open channel systems is preferred. • Eligibility to legally work in Canada. • Strong analytical and problem-solving skills. • Ability to work independently and within a research team. Application Process: If you are interested in this position or know someone with the relevant expertise and qualifications, please forward your resume to dsantor@uwo.ca. The position will remain open until filled, and only highly qualified candidates will be contacted for an interview. We look forward to receiving applications from motivated and skilled individuals ready to contribute to our innovative research project. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19297 when responding to this ad. | |
Name | Domenico Santoro |
dsantor@uwo.ca | |
Email Application | Yes |
Record Data: | |
Last Modified | 02:26:43, Saturday, July 20, 2024 |
Job Record #19296 | |
Title | PhD position with Scholarship |
Category | PhD Studentship |
Employer | Curtin University |
Location | Australia, Western Australia, Perth |
International | Yes, international applications are welcome |
Closure Date | Sunday, August 18, 2024 |
Description: | |
Applications are invited from suitable candidates for a PhD position with Scholarship. The selection will be based on a competitive screening and ranking process. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19296 when responding to this ad. | |
Name | Ramesh Narayanaswamy |
r.narayanaswamy@curtin.edu.au | |
Email Application | No |
URL | https://scholarships.curtin.edu.au/Scholarship/?id=7216 |
Address | https://scholarships.curtin.edu.au/Scholarship/?id=7216 |
Record Data: | |
Last Modified | 16:19:11, Friday, July 19, 2024 |