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Job Record #19057 | |
Title | Turbulence Modeling Postdoc |
Category | PostDoc Position |
Employer | Los Alamos National Laboratory |
Location | United States, New Mexico, Los Alamos |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
We are looking for a postdoc to help advance the frontiers of the modeling of turbulent mixing. Los Alamos is engaged in wide-ranging research in the modeling of turbulence, including Reynolds-averaged Navier-Stokes (RANS) models, large-eddy simulation (LES), and hybrid modeling. Depending on the candidates skills and interests, the work could include probability density function (PDF) methods, stochastic differential equations, dynamical systems approaches to turbulence, and looking at the interaction of turbulence with other physics including combustion, radiation transport, and magneto-hydrodynamic or plasma turbulence. The successful candidate will participate in the theoretical development of new models, implementation in LANL multiphysics codes, and validating against experimental data. The project will include collaboration with our world class scientists in turbulent mixing in extreme conditions, LANL code teams, and DOE experimentalists working at our unique high-energy density experimental facilities. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19057 when responding to this ad. | |
Name | Daniel Israel |
dmi1@lanl.gov | |
Email Application | No |
URL | https://lanl.jobs/search/jobdetails/turbulence-modeling-postdoc/6f8b68b2-9859-4a16-ac08-03b0e8efcf49 |
Record Data: | |
Last Modified | 18:03:52, Monday, March 18, 2024 |
Job Record #19056 | |
Title | PhD on Solidification with convection and particle motion |
Category | PhD Studentship |
Employer | Institut Jean Lamour |
Location | France, Nancy |
International | Yes, international applications are welcome |
Closure Date | Friday, May 31, 2024 |
Description: | |
The research projectBackgroundMetallic materials are composed of crystal microstructures and their mechanical properties depend on the size, morphology, and chemical composition of these microstructures. In manufacturing of virtually all metal products, solidification processes, such as casting, welding, or additive manufacturing, are a decisive step for the formation of the microstructure. Understanding the link between process parameters and the microstructure of the product is particularly important for the improvement of properties of high- performance components with high added value, e.g., the impact toughness of steel nuclear reactor pressure vessels or the fatigue strength of turbine blades in an aircraft engine. During the solidification of a metal alloy, the solid crystal structure often forms in the shape of dendritic grains. The dendrites, a few millimeters in size, first grow freely in the liquid and can move during their growth. They are carried by the flow and are spread across the whole solidifying piece, which can be several meters in size. They sediment, pack, and continue to grow until complete solidification. The structure of the solidified piece depends strongly on these transport phenomena. Our work on the dynamics of motion of dendritic grains has shown that the transition between the zone of free-floating grains and the packed layer of stationary grains occurs across a narrow zone, with the thickness of about 5 times the grain size. In this packing zone, the distance between the grains decreases rater abruptly and the coupling between the flow of the liquid, the motion of the grains and their growth leads to high variations of chemical composition and temperature. Today, a theory to describe the packing zone does not exist. The phenomena in this zone are one of the key factors for the formation of the nonuniform structure and chemical composition in castings.Objectives and MethodsThe objective of the PhD thesis is to answer the following questions:
Requirements for applicants
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Contact Information: | |
Please mention the CFD Jobs Database, record #19056 when responding to this ad. | |
Name | Miha Založnik |
miha.zaloznik@univ-lorraine.fr | |
Email Application | Yes |
URL | http://ijl.univ-lorraine.fr |
Record Data: | |
Last Modified | 15:26:55, Monday, March 18, 2024 |
Job Record #19054 | |
Title | MODELING TWO-PHASE FLOWS USING MULTI-SCALE PHASE CHANGE METHODS |
Category | PhD Studentship |
Employer | University of Poitiers/Pprime Institute/FTC |
Location | France, Nouvelle Aquitaine, Poitiers |
International | Yes, international applications are welcome |
Closure Date | Tuesday, December 31, 2024 |
Description: | |
Key-words: two-phase flow, phase change, numerical model, analytical model, multiscale physics Framework and objectives: The high integration and densification in power electronics and new carbon-free engine (due higher adiabatic flame temperature) in aeronautics and transport present increasing challenges for more efficient heat control and cooling means for which phase change systems are a good candidate. One of the possible solutions to be used are passive two-phase loops, in which heat transfer is associated with the change of state of the fluid. It consists of a closed duct partially filled with a liquid in a close-to-thermodynamic-equilibrium state with its vapor phase. Once charged, i.e., heated from a side called the evaporator and cooled from another called the condenser, the fluid onsets a motion due to phase change and buoyancy and/or capillarity, depending on the technology and application field targeted. The motion insures the super-heat transfer capabilities of such a device. The main issue to address is usually how to design the device in a way that it reached its lowest thermal resistance, shortest response time, lowest noise, highest resilience to failure and largest working stability. Flexibility may also be a variable to consider. To assess such a device, modeling effort has to be made and worth noticing that robust and reliable models at the device scale are quite scarce. Nevertheless, Pprime Institute has put considerable efforts to develop a two-phase flow model with either mixed or separated phases. These models were able to simulate a two-phase gravity loop. This has been possible in a first step using a one-dimensional mixture model and lastly using a three-dimensional segregated model. Work program and means: Yet, many issues remain unanswered to date. So first, the present model is extremely computer resources consuming. Although the model being dimension-free, performing a full three-dimensional simulation of the whole loop is at the present time out of reach, indeed. Hence, optimized algorithms for efficient interface advection are sought for. Then, liquid film and/or vapor film dynamics close the contact line (or micro-region) is lacking in the present model. Bearing in mind that the heat transfer is enhanced considerably close to this line, an appropriate representation of this phenomenon is of paramount importance and is definitely a step forward to a more realistic loop model. In addition, a more accurate scheme has to be developed in order to enhance the mass conservativeness in compressible flow context. Finally, some minor improvements have to be done in order to take into account Kelvin effect for example, i.e., the departure from saturation conditions whenever the interface is no longer planar, the recoil pressure, etc. Test cases for validation are available from both Pprime Institute experimental data and literature. Using the developed tool, original loop can be designed and assessed afterward. This subject has two essentially components. Its first step is to optimize the detailed model in order to better simulate the behavior of the two-phase real in reasonable computation time. In a second step, an analytical model will be developed describing the dynamics of phase change close to the contact line. This model will be implemented as a more-accurate boundary condition that feeds the numerical model with data unreachable otherwise. Applicant profile, prerequisites: The attendee will have: 1. Good knowledge of PDE for fluid mechanics/heat and mass transfer 2. Good knowledge of Numerical methods/computation 3. Good practice of symbolic calculus 4. Good knowledge of Python scripting language Appreciated (but not mandatory) skills are: 1. Knowledge of asymptotic developments 2. Basic knowledge of openFOAM library 3. Knowledge of C or C++ language Expected starting date: As soon as possible after October 1st, 2024 but not later than April, 15th, 2025. Contact: Interested applicants should send a CV with a cover letter, names (or recommendation letters) of at least two references, and a summary of recent work and publications (if applicable). All applications should be submitted electronically (paperless process) as a single PDF document to the Email address below. Salary: About 26 k€ gross per year |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19054 when responding to this ad. | |
Name | Prof. Etienne VIDECOQ |
etienne.videcoq @ensma.fr | |
Email Application | Yes |
Phone | +33 549 498 117 |
Fax | +33 549 498 100 |
URL | https://pprime.fr/la-recherche/fluides-thermique-combustion/convection-optimisation-systemes-thermiques-cost/ |
Address | Department of Fluid, thermal Science and Combustion Pprime-Institute/ISAE-ENSMA Téléport 2, 1, avenue Clément Ader, BP 40109 86961 Futuroscope Chasseneuil-Cedex, France |
Record Data: | |
Last Modified | 15:13:15, Monday, March 18, 2024 |
Job Record #19055 | |
Title | Research Associate (Post Doc - One) and SRF (One) |
Category | Job in Academia |
Employer | IIT Roorkee |
Location | India, Uttarakhand, Roorkee |
International | No, only national applications will be considered |
Closure Date | Monday, April 08, 2024 |
Description: | |
INDIAN INSTITUTE OF TECHNOLOGY, ROORKEE (Name of Dept./Centre) Dated: 18.03.2024 ADVERTISEMENT TO FILL UP PROJECT POSITIONS* Applications are invited from Indian nationals only for project position(s) as per the details given below for the consultancy/research project(s) under the Principal investigator (Name: Prof. K.B. Mishra), Dept./Centre Mechanical and Industrial Engineering Indian Institute of Technology, Roorkee. 1. Title of project: Optimizing the routing pattern of fire detectors in aero engines 2. Sponsor of the project: DRDO, New Delhi 3. Project position(s) and number: Research Associate (Post Doc - One) and Senior Research Fellow (SRF- One) 4. Qualifications: For RA: PhD in Mech/Aero/Chem/Fire/Thermal/Design Discipline or equivalent degree or having 3 years of relevant research or design and development experience after MS/ME/M.Tech with at least one research paper in a Science Citation Indexed (SCI) Journal. For SRF: B.E./B.Tech. or M.E./M.Tech. in Mech/Aero/Chem/Fire with GATE score Desirable: 1-2 years of relevant experience 5. Emoluments: Rs. 61,000 PM for RA and Rs. 35,000 PM for SRF 6. Duration: Two Years 7. Job description: For RA: • To perform research and development work in line with project. • To assist the other students in their research work. • Prepare grant proposals, quality manuscripts, patents, and presentations. • To participate in conferences, meetings, and training programs as a presenter or instructor. For SRF: To perform research and development work in line with the project. 1. Candidates desiring to appear for the Interview should submit their applications with the following documents to the office of Principal Investigator through email, by post or produce at the time of Interview: • Application in a plain paper with detailed CV including chronological discipline of degree/certificates obtained. • Experience including research, industrial field and others. • Attested copies of degree/certificate and experience certificate. 2. Candidate shall bring along with them the original degree(s)/certificate(s) and experience certificate(s) at the time of interview for verification. 3. Preference will be given to SC/ST candidates on equal qualifications and experience. 4. Please note that no TA/DA is admissible for attending the interview. Note: The selected candidate may get an opportunity for PhD admission. The last date for application to be submitted to office of Principal Investigator is 8th April, 2024 by 5 PM. (not applicable for walk in interview) ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED FOR FURTHER STEPS Prof. K.B. Mishra Tel: 01332284857 Fax: Name and signature of Principal Investigator Email:kirti.mishra@me.iitr.ac.in |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19055 when responding to this ad. | |
Name | Prof K.B. Mishra |
kirti.mishra@me.iitr.ac.in | |
Email Application | Yes |
Record Data: | |
Last Modified | 14:45:00, Monday, March 18, 2024 |
Job Record #19053 | |
Title | PhD in Aeroacoustics |
Category | Job in Academia |
Employer | Sorbonne University |
Location | France, Paris |
International | Yes, international applications are welcome |
Closure Date | Saturday, April 20, 2024 |
Description: | |
Aeroacoustic modelling to investigate the phonic ability of Neanderthals The issue of the phylogenetic emergence of speech in humans is the focus of lively and strong debates. It questions both cognitive and physical capacities of fossil hominins to articulate speech. For the past 4 years, our multidisciplinary research group “Origins of Speech” supported by ISCD in Sorbonne University has focused on the quantitative investigation of the physical aspects of the debate. More precisely, we rely on the design biomechanical models of fossil hominins’ vocal tracts and on the assessment of their capacity to articulate distinctive sounds as is required for the emergence of spoken language. A first and important step has been reached with the validation of a predictive 3D finite-element model for tongue morphology which has been built using a mesh registration approach with 3D CT images of the head and neck. In [1] we have showed that this method has been able to accurately predict a female baboon tongue using combined data from a reference biomechanical tongue model of a living human from bony structures alone (see figure bellow extracted from [1]). Currently, preliminary results has allowed us to generate the first prediction of tongue for a fossil hominin. Nevertheless, the qualitative assessment of the predicted tongue (for baboon or fossil hominin) alone does not provide information on the production of voiced speech. The process of voice production is a complex process. Indeed, the primary source of sound in the vocal tract is the modulation of the glottal airflow by the vocal folds opening and closing periodically. The motion of the vocal folds depends on the pressure loading on their surfaces due to the airflow. In turn, the airflow through the vocal tract is altered by the presence and motion of static and dynamic laryngeal structures (see [2]). This airflow then enter the oral cavity where it is deviated by the tongue movement. Objective: The aim of this PhD project is to study the phonic ability using the interaction of the activated tongue with the airflow generated in the vocal tract. An aeroacoustic model [3] which allows modeling the generation and propagation of waves in the supra-glottic system (the vocal tract) by using the principles of fluid mechanics and their interaction with structures will be exploited. We particularly aim in investigating accurate aeroacoustic models capable to predict consonants in such complex geometry since in this case the fluid-structure interaction are central to the sound prediction. We will first focus on studying and validating our aeroacoustic model on 2D cuts on the baboon tongue obtained in [1] using incompressible Navier-Stokes equations solved numerically in Basilisk solver [4]. The final aim of this study is to extend this analysis to the biomechanical tongue of the fossil hominin. This research subject is defined on the tools and skills mobilized within the ISCD and meet the objectives of the scientific project "Origins of Speech". In this context, the PhD student will benefit from original study material such as experimental and simulated data for validation and verification purposes. This is a multidisciplinary thesis supervised by a team of experts from National Museum of Natural History and from the mechanical institut Jean Le Rond d’Alembert at Sorbonne University. Bibliography: [1] Alvarez P, El Mouss M, Calka M, Belme A, Berillon G, Brige P, et al. Predicting primate tongue morphology based on geometrical skull matching. A first step towards an application on fossil hominins, PLoS Comput Biol 20(1): e1011808. https://doi.org/10.1371/journal.pcbi.1011808, 2024 [2] S. L. Thomson, L. Mongeau, S. H. Frankel. Physical and numerical flow-edited vocal fold models. 3rd International Workshop MAVEBA, 2003, 147-150. [3] Hajczak, A. (2020). Méthodes numériques d’identification des sources de bruit aérodynamique pour les trains d’atterrissage. Sorbonne université. [4] van Hooft, J.A., Popinet, S. A fourth-order accurate adaptive solver for incompressible flow problems. Journal of Computational Physics , 2022, 462, 111251 http://basilisk.fr/ |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19053 when responding to this ad. | |
Name | Anca Belme |
anca-claudia.belme@sorbonne-universite.fr | |
Email Application | Yes |
Record Data: | |
Last Modified | 09:27:11, Monday, March 18, 2024 |
Job Record #19052 | |
Title | Industry funded PhD in H2 and Carbon cogen from CH4 Pyrolysis |
Category | Job in Academia |
Employer | Carleton Univeristy |
Location | Canada, Ontario, Ottawa |
International | Yes, international applications are welcome |
Closure Date | Tuesday, April 30, 2024 |
Description: | |
PhD Position on Process Design and Optimization Tools for Gas Phase Synthesis of Nanoparticles The Energy and Particle Technology Laboratory (EPTL) at Carleton University, Ottawa, Canada is recruiting a PhD student for a position on multiscale modeling of gas phase synthesis of nanoparticles in reactive flows. The main focus is to expand the current understanding of nanoparticle formation and evolution and apply it to develop state-of-the-art computational tools aimed at predicting nanoparticle characteristics such as morphology, particle size distribution (PSD), and chemical composition under different process conditions from various feedstocks. Candidate qualifications Candidates must have completed at least two years of MASc studies in mechanical, aerospace oe chemical engineering. The candidate is expected to have strong skills in the following areas: • Proficient grasp on computational fluid dynamics (CFD) and numerical analysis methods. Experience in OpenFOAM is a plus. • Advanced coding skills preferably in Python or C++ with solid understanding of Object-Oriented Programming (OOP) and experience in working with large code bases. A well-mentioned GitHub repository is a plus. • Familiarity with chemical kinetics and particle dynamics • Dedication, self-motivation, and independent research with a strong work ethic and collaborative skills • Proficiency in both written and spoken English and excellent communication and interpersonal skills. Energy and Particle Technology Laboratory (https://carleton.ca/eptl/) EPTL conducts research on nanoparticle engineering with applications in energy storage, advanced material synthesis, emission sensing and quantification of their impact on the environment. We develop process design tools for scalable gas phase synthesis of nanoparticles with tailored functional properties and study how particle characteristics including their size distribution, morphology and chemical composition are linked to their properties of interest such as optical, sensing and energy storage characteristics. How to Apply Applications should include a CV and a cover letter clearly outlining how past research and experience provide the essential qualifications to undertake the project. Additionally, contact info for three references should be available upon request. Please Direct Application to: Professor Reza Kholghy (Director of EPTL): reza.kholghy@carleton.ca |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19052 when responding to this ad. | |
Name | Reza Kholghy |
reza.kholghy@carleton | |
Email Application | Yes |
URL | https://carleton.ca/eptl/people/prof-m-reza-kholghy/ |
Record Data: | |
Last Modified | 03:55:53, Sunday, March 17, 2024 |
Job Record #19051 | |
Title | Fully Funded PhD position - Research Assistant |
Category | PhD Studentship |
Employer | Southern Methodist University |
Location | United States, Texas, Dallas |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
<<< Download Flyer here: https://ai4dlab.github.io/files/PhDposition.pdf >>> Finishing your Masters degree and interested in computational physics, and solving complex problems in design and optimization using scientific machine learning? The AI4D Lab has multiple fully-funded PhD positions. The ideal candidate must meet the following options: 1) Have a Masters degree in Mechanical, Aerospace, Applied Mathematics, or Physics related to fluid dynamics. 2) Have hands-on experience in AI/ML, reduced-order modeling, and computational methods. 3) Experience in programming with Python, Julia, or C++. 4) Good knowledge of fluid mechanics, aerodynamics, and turbulence. 5) Experience in CFD software development or good knowledge of algorithms in CFD methods. 6) Meet admission requirements for the PhD program in the Lyle School of Engineering (Link) If you meet the aforementioned options, you should email a cover letter and CV to Dr. Karbasian (karbasian@mit.edu) with the subject “PhD Application - SML”, otherwise your email might not be seen. For further information, please check out: https://ai4dlab.github.io |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19051 when responding to this ad. | |
Name | Hamid R Karbasian |
karbasian@mit.edu | |
Email Application | Yes |
URL | https://ai4dlab.github.io |
Address | Southern Methodist University, Dallas, Texas, USA |
Record Data: | |
Last Modified | 09:08:21, Friday, March 15, 2024 |
Job Record #19050 | |
Title | A researcher for modeling Li-ion cells and recycling processes |
Category | PostDoc Position |
Employer | Fondazione Bruno Kessler |
Location | Italy, Trentino Alto-Adige, Trento |
International | Yes, international applications are welcome |
Closure Date | Monday, March 25, 2024 |
Description: | |
Workplace The Centre on Sustainable Energy (SE) supports the development of devices and methods for generation, storage, and distribution of energy solutions at low environmental impact. This will be done in the perspective of energy sustainability, of systems and solutions that respect the environment and the quality of life, of solutions with a lower impact on health and on environmental pollution levels. The ground for the Centre on “Sustainable Energy” is based on the Decarbonization targets, which will demand for more flexibility of the energy system, through new gas and power grids and using energy vectors and storage solutions, as enablers for the wide penetration of renewables. FBK actively seeks diversity and inclusion in the workplace and is also committed in promoting gender equality. Job Description The position offered concerns mainly the development and validation of models for Li-ion cells and material recycling processes. The candidate will provide support to the Battery and Electrification Technologies (BET) unit in both European and national projects related to Li-ion batteries and redox flow batteries. This position is offered in the frame of the FREE4LIB Horizon Europe project. The candidate will also contribute to the European Battery Innovation IPCEI project (https://www.ipcei-batteries.eu) aiming at the development of next-generation battery technologies. The activities of the successful candidate will focus on: ● development and validation of physics-based Li-ion cells models for different chemistries; ● development and validation of models (mainly physics-based or hybrid) for the different chemical processes involved in Li-ion battery recycling (e.g., black mass production, leaching, precipitation, liquid-liquid extraction); ● supporting the development of redox flow batteries multiphysics models (at cell or stack level); ● supporting cell testing that will provide inputs for the models. The ideal candidate should have: ● PhD Degree or 3 years of research experience in fields related to this call; ● MSc in Chemical Engineering is preferred, Energy Engineering, Chemistry, or other relevant degrees are also considered; ● Solid know-how on electrochemistry and batteries; ● Solid know-how on computational methods (e.g., FVM, FEM); ● Know-how on chemical process modeling; ● Skills in programming (C++, python or Julia) and some experience in the development of applications or libraries for modelling physical systems; ● Experience in Li-ion cells modelling (e.g., SPM, DFN), preferably using opensource or custom- developed software; ● Experience with computational tools for multiphysics analyses (e.g., OpenFOAM, Ansys Fluent); ● Ability to work in a collaborative environment, with a strong commitment to achieve assigned objectives; ● Ability to organize and complete multiple tasks/projects at one time; ● Good knowledge of written and spoken English; ● Skills in problem solving; ● Good communication and relational skills; ● Self-motivation and result orientation; ● Ability to write technical reports and scientific papers. Furthermore the following elements will be positively evaluated: ● Experience on modelling redox flow cells; ● Experience with Modelica-based simulators (e.g., OpenModelica, Dymola, Modelon Impact) and/or chemical process simulators; ● Experience in data-driven modelling approache. Employment Type of contract: Fixed Term Contract Gross annual salary: about € 41.400 Working hours: full time (38 hours per week) Start date: April 2024 Duration: 2 years (with the possibility to extend the contract depending on funding) Workplace: Povo - Rovereto Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security (SANIFONDS), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees. More info at https://www.fbk.eu/en/work-with-us/ Application Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format): ● Detailed CV including a list of scientific publications; ● Cover Letter (explaining your motivation for this specific position) ● At least 2 professional references (e-mails and/or phone numbers) Application deadline: March 25, 2024 Please read our Regulations on the recruitment and selection of fixed-term personnel (effective from October 15, 2018) before completing your application. For further information, please contact the Human Resources Services at jobs@fbk.eu. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19050 when responding to this ad. | |
Name | -- |
jobs@fbk.eu | |
Email Application | No |
URL | https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_researcher_for_modeling_Li_ion_cells_and_recycling_processes_230867711.htm |
Address | jobs@fbk.eu |
Record Data: | |
Last Modified | 08:27:36, Thursday, March 14, 2024 |
Job Record #19049 | |
Title | Research Fellow in Hydrogen Releases Quantification |
Category | Job in Academia |
Employer | University of Surrey |
Location | United Kingdom, Surrey, Guildford |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
To apply, please follow the official advertisement in the link below https://jobs.surrey.ac.uk/vacancy.aspx?ref=012124 Location: Guildford Salary: £36,024 to £44,263 per annum depending on experience Fixed Term Contract until 31/12/2026 Post Type: Full Time Closing Date: 23.59 hours BST on Monday 08 April 2024 Interview Date: Monday 22 April 2024 Reference: 012124 The Fire and Explosion Modelling (FMEG) group in the School of Mechanical Engineering Sciences is seeking a Research Fellow to work on pan European project NHyRA “PRE-NORMATIVE RESEARCH ON HYDROGEN RELEASES ASSESSMENT”. Funded by Horizon Europe, NHyRA aims to develop methodologies to quantify potential anthropogenic hydrogen releases along the entire hydrogen value chain. The results will inform the assessment the impact of anthropogenic hydrogen releases on climate, which is the aim of another EU project. About the role New or adequately adapted experimental, theoretical, and simulation methodologies will be validated in NHyRA to perform laboratory or in-field measurements to achieve the project goal. The Research Fellow will work under the supervision of the Surrey PI, Professor Jennifer Wen, to deliver Surry’s contribution to the project. The researcher will conduct CFD simulations to validate the measurement/analysis methods of the partners and estimate anthropogenic hydrogen emissions that cannot be directly measured. He/she will also need to develop efficient methods to evaluate the overall H2 emission rates from measurements and analysis conducted by other partners. This is a full-time post, which should start as soon as possible but with a fixed end date of 31 December 2026. For an informal discussion about the post please contact Prof. Jennifer Wen; j.wen@surrey.ac.uk Information about research activities at FMEG can be found at https://www.surrey.ac.uk/fire-and- explosion-modelling-group About you We are looking for a researcher with a doctoral degree in a relevant discipline (although individuals who have almost completed a doctoral degree may be appointed). Experience in CFD simulations for both non-reactive and reactive flows will be essential. Candidates with experience of OpenFOAM will be preferable. About us The School of Mechanical Engineering Sciences is part of the Faculty of Engineering and Physical Sciences. The Department, and its degree programmes, are rated in the top 10 in the UK league tables and top 100 in the Shanghai Global Ranking of Academic Subjects. The overarching research drivers are centred around resilience, green living and living well with its highly rated research carried out in four Centres: Aerodynamics & Environmental Flow (A&EF), Automotive Engineering, Biomedical Engineering and Engineering Materials. Benefits In addition to salary the successful post holder will receive a generous annual leave entitlement, excellent development opportunities and access to childcare assistance. Some flexible home working is supported but attendance at our campus in Guildford will be necessary some of the time. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19049 when responding to this ad. | |
Name | Jennifer Wen |
j.wen@surrey.ac.uk | |
Email Application | Yes |
URL | https://jobs.surrey.ac.uk/vacancy.aspx?ref=012124 |
Record Data: | |
Last Modified | 15:10:15, Wednesday, March 13, 2024 |
Job Record #19048 | |
Title | PostDoc : Fragmentation of small aggregates in turbulent flows |
Category | PostDoc Position |
Employer | CNR NANOTEC Institute of Nanotechnology |
Location | Italy, Lecce |
International | Yes, international applications are welcome |
Closure Date | Monday, April 15, 2024 |
Description: | |
This postdoctoral project focuses on the role of hydrodynamical stresses in the fragmentation process of modeled micro-plastics in realistic flow conditions. In particular, the research consists in performing Direct Numerical Simulations (DNS) of a turbulent suspension of fiber-like small fragments, by means of an Eulerian–Lagrangian approach. The goal is to compute the dynamics and statistical properties of fragments dispersed in the turbulent flow, and study how turbulent velocity gradient statistics impact their fragmentation rate. This post-doctorate is founded by Italian Ministry of University and Research within the PRIN PNRR project “BREAKUP - Numerical and Experimental Investigation of Small Plastics Breakup in Complex Flows”. The project is a collaboration between theoretician/numericists (CNR NANOTEC, Lecce, Italy) and experimentalists (Dept of Chemical Engineering, Univ. Federico II in Naples, Italy). More about job Information/Requirement/Application can be found at: https://alanotte.weebly.com/uploads/1/2/2/8/122880611/job_opening.pdf |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19048 when responding to this ad. | |
Name | Alessandra S. Lanotte |
alessandrasabina.lanotte@cnr.it | |
Email Application | Yes |
URL | https://alanotte.weebly.com/uploads/1/2/2/8/122880611/job_opening.pdf |
Record Data: | |
Last Modified | 13:09:54, Wednesday, March 13, 2024 |