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Job Record #18556 | |
Title | UK based PhD studentship in Reinforcement Learning for control |
Category | PhD Studentship |
Employer | Heriot-Watt University |
Location | United Kingdom, Edinburgh |
International | Yes, international applications are welcome |
Closure Date | Friday, June 23, 2023 |
Description: | |
PhD studentship in model-based Reinforcement Learning The School of Energy, Geoscience, Infrastructure and Society (EGIS) at Heriot-Watt University (Edinburgh, Scotland, UK) is looking for a PhD candidate to work on engineering optimisation and control using Reinforcement Learning (RL) techniques. The successful candidate will be part of the project ECO-AI (Enabling CO2 capture and storage using AI). ECO-AI team includes academics based at Heriot-Watt university (School of Engineering and Physical Sciences (EPS) and School of Energy, Geoscience, Infrastructure and Society (EGIS)) and at Imperial College London (Department of Earth Sciences and Department of Chemical Engineering). The project webpage https://ai4netzero.github.io/ecoai_project/.
Reinforcement
learning has been demonstrated as a viable approach to solve various optimisation
and control tasks (e.g., video games, robotics, and active flow control). Most
of these successes relied on what is called model-free RL algorithms where an
agent learns an optimal policy by interacting with an environment without the building
an internal model of the environment dynamics. In model-free RL algorithms, an
agent utilizes a guided trial-and-error approach by playing millions of games
to explore the game environment and to obtain a superhuman policy. However, the
transfer of these advances to real-world applications, wherein the cost of
interacting with the environment is often high, can be prohibitively
challenging. For instance, conducting millions of interactions with an
experimental setup can be practically infeasible, and interacting with a
detailed simulation environment can be slow and computationally demanding.
Model-based reinforcement learning algorithm offers a more sample efficient
approach for learning control policies. Model-based RL algorithms aim to learn
an internal model of the environment dynamics and uses the learned model to
plan ahead. Model-based RL has the potential to considerably decrease the
necessary interactions between the agent and the environment, yet it often
encounters challenges due to inaccuracies in the learned environment dynamics.
In this project, we aim to advance model-based RL techniques by embedding model
errors and uncertainties in model-based RL algorithms. The developed algorithm
will be demonstrated on a wide range of engineering applications including
active flow control, renewable energy generation and industrial/chemical
process control. – Gym-preCICE: Reinforcement Learning Environments for Active Flow Control https://arxiv.org/abs/2305.02033 and https://github.com/gymprecice/gymprecice – A Multilevel Reinforcement Learning Framework for PDE-based Control https://arxiv.org/abs/2210.08400
Essential skills: – Master's degree in computational mathematics, physics or in a relevant engineering discipline with strong computational skills – Excellent programming skills preferably in Python and/or C++ – Ability to write reports, collate information and present it in a clear and engaging manner
Desirable skills: – Bayesian statistics and machine learning (theory and applications) – Experience with machine learning libraries (pytorch, jax, etc) – Nonlinear optimization techniques
Fees and funding: – Funding is available both national and international candidates. It includes tuition fees and an appropriate stipend for 3 years at the EPSRC recommended levels.
Application process: Interested individuals are invited to contact project leader (Prof. Ahmed H. Elsheikh; email: a.elsheikh AT hw.ac.uk) for information inquires. The Please contact egis-pgr-apps@hw.ac.uk for technical support with your application.
Timeline: The closing date for applications is 23rd of June 2023 and applicants must be available to start in September 2023. To apply you must complete our online application form at the university website at https://www.hw.ac.uk/uk/schools/energy-geoscience-infrastructure-society/postgraduate-research/how-to-apply.htm |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18556 when responding to this ad. | |
Name | Ahmed H. Elsheikh |
a.elsheikh@hw.ac.uk | |
Email Application | No |
URL | https://www.findaphd.com/phds/project/phd-studentship-in-model-based-reinforcement-learning/?p158709 |
Record Data: | |
Last Modified | 12:28:17, Friday, June 09, 2023 |
Job Record #18471 | |
Title | Post-doc in computational bio-fluid mechanics |
Category | PostDoc Position |
Employer | Gyeongsang National University |
Location | South Korea, Gyeongnam, Jinju |
International | Yes, international applications are welcome |
Closure Date | Thursday, August 31, 2023 |
Description: | |
Post-doc position in computing elastic capsule and biological cell motion Description: The Biomechanics and Computational Physics group at the Department of Aerospace and Software Engineering, Gyeongsang National University, South Korea seeks applications for a full-time post-doctoral research fellow position. The research in the group involves bioengineering and modeling interactions of soft cells/drops. The research activity is carried out within a multidisciplinary research and design team including post-docs and research students. The successful candidate will develop/upgrade existing software for analyzing FSI-induced cell injury/damage and related clinical complications. Preferred Qualifications: • Ph.D. in Aerospace, Mechanical, Chemical Engineering, Applied Mathematics, or related discipline. • Proven track record of publishing high-quality academic journals. • Experience in Computational Fluid Dynamics (e.g., COMSOL, OpenFOAM). • Programming proficiency in finite volume methods coupled with VoF formulation, immersed boundary method, and lattice Boltzmann method. The position is immediately available. Contact The appointment includes a stipend of Korean Won 4,500,000/month and incentives. The candidates are encouraged to submit the applications detailing their suitability/background, providing names and e-mail addresses of three references, a CV, and copies of relevant reprints and pre-prints. Send the application (as a PDF file) to Prof. A. Sau, amalendu_sau@yahoo.com, and asau@gnu.ac.kr. Website: https://www.gnu.ac.kr/anse/pi/prfsr/selectPrfsrIntrdView.do? mi=3027&ctgrySn=18 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18471 when responding to this ad. | |
Name | Amalendu Sau |
amalendu_sau@yahoo.com | |
Email Application | Yes |
Phone | 82-55-772-1648 |
URL | https://www.gnu.ac.kr/anse/pi/prfsr/selectPrfsrIntrdView.do?mi=3027&ctgrySn=18 |
Address | Department of Aerospace and Software Engineering Room No.407-808 Gajawadong, Jinju 660701, South Korea |
Record Data: | |
Last Modified | 06:56:27, Friday, June 09, 2023 |
Job Record #18555 | |
Title | Group Leader of "System Analysis and Control" |
Category | Job in Industry |
Employer | German Aerospace Center (Institute of Electrified Aero Engines) |
Location | Germany, Brandenburg, Cottbus |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
Their mission: At the Institute of Electrified Aircraft Propulsion, we are researching future lower-emission aircraft engines for civil transport aircraft and developing new technologies to reduce climate-damaging greenhouse gases. Become part of an open-minded team and analyze and solve future-oriented scientific questions with a focus on alternative aircraft engines. Due to their significantly increased system complexity, they place high demands, but also have the potential to be more climate-friendly and quieter. You will be faced with the following tasks: Modeling, improvement and further development of digital engine control systems Development of concepts and technologies for the optimization of the system management of turboelectric or hybrid-electric powertrains, e.g.: Development and design of controllers to regulate the rotational speed of the rotor axis in direct correlation to the thrust of the drive Development, implementation and adaptation of the conventionally used FADEC (Full Authority Digital Engine Control) to the special features of a hybrid- electric powertrain Development and implementation of independent speed and energy control strategies and architecture-specific control systems for the various individual propeller drives Development and design of simulations and software environments Technical and organizational management of the working group System Analysis and Control in the Department of Drive System Control Acquisition and management of research projects Do you also combine creativity with interdisciplinary thinking? Would you like to design your work area largely independently and quickly take on responsibility? Then we look forward to receiving your application! With us you will find challenging scientific questions as well as the appropriate research infrastructure for their implementation. You will benefit from a wide range of career opportunities at the institute and from an extensive training program. Your qualifications: Completed university master's degree/university degree in engineering sciences as Master of Engineering or Master of Science, e.g. in the fields of aerospace engineering, electrical engineering, measurement and control technology, physical engineering, mechanical engineering or comparable degree Demonstrable knowledge in the field of aviation safety requirements Many years of verifiable experience in the planning and implementation of research projects, preferably in the field of aviation, for customers from research and industry Many years of verifiable experience in the management of corresponding projects with responsibility for acquisition, personnel, budgets, deadlines and scientific quality Experience in carrying out complex subject-specific studies and projects Professional experience in the preparation and implementation of EU-funded research projects Knowledge of quality management Successfully completed doctorate in the field of aeronautics or electrical engineering desirable ideally very good knowledge of English, both written and spoken Willingness to travel on business at home and abroad is an advantage Creativity combined with the ability to think in an interdisciplinary way and the willingness to continuously develop are desirable Ideally, good networking with other (national and international) research institutions and universities as well as with industry Willingness to participate in committees is desirable Ideally, high motivation to help build structures and processes ideally a high degree of independence, with the ability to work in teams but also autonomously goal-oriented working style with analytical, solution-oriented skills is an advantage |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18555 when responding to this ad. | |
Name | Thomas Geyer |
thomas.geyer@dlr.de | |
Email Application | No |
URL | https://www.dlr.de/dlr/jobs/desktopdefault.aspx/tabid-10596/1003_read-50995/ |
Record Data: | |
Last Modified | 16:06:56, Thursday, June 08, 2023 |
Job Record #18554 | |
Title | Project Engineer |
Category | Job in Industry |
Employer | CDAC |
Location | India, Maharashtra, Pune |
International | No, only national applications will be considered |
Closure Date | Tuesday, June 20, 2023 |
Description: | |
Name of the Post: Project Engineer (PE) Duration of appointment: one /two years Two Years (Renewing contract as per project requirements) Desired Educational Qualification and specialization: M.E./M.Tech in Mechanical/Chemical/Aerospace Engineering/Computational Fluid Dynamics (CFD) Post Qualification relevant Experience (in years): 0-6 years Desired Skill Sets: Research Projects executed in Computational Fluid Dynamics/ Heat Transfer/Fluid Dynamics at Post Graduate Level. Knowledge of Programming for writing CFD codes is desirable. Knowledge of Parallel programming and HPC would be an added advantage. Proposed Job Profile: Execution of research project in development of CFD model, Execution of pollution dispersion CFD model in the parallel computing environment Please apply on below link https://careers.cdac.in/advt-details/CORP-2452023-UMDU4 Kindly apply for Sl. No 5 (Project Engineer) There are no application fees. The annual salary will be in the range of Rs 6.60-7.50 Lacs Interview Mode: Online (Video Conferencing) The Last date for on-line application by candidates is Jun 20, 2023, 18:00 hrs |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18554 when responding to this ad. | |
Name | Recruitment Manager |
cfd@cdac.in | |
Email Application | No |
URL | https://careers.cdac.in/advt-details/CORP-2452023-UMDU4 |
Address | C-DAC, Innovation park, Panchwati, Pashan Pune |
Record Data: | |
Last Modified | 13:48:10, Thursday, June 08, 2023 |
Job Record #18553 | |
Title | Post Doctoral Position Ref. 230000CA |
Category | Job in Academia |
Employer | Khalifa University of Science and Technology |
Location | United Arab Emirates, Abu Dhabi |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
The Emirates Nuclear Technology Center (ENTC) at Khalifa University is currently seeking a post-doctoral Research Associate (RA) to participate in a project focused on conducting a safety analysis of design basis accidents and design extension conditions using experimental data from the OECD-ATLAS project. Within this project, the accuracy of predictions made by lump parameter codes, such as RELAP5 and TRACE, will be verified against experimental data obtained from the ATLAS facility. The ENTC group is also in the process of commissioning a separate effects facility to investigate dominant two-phase flow condensation phenomena. We are particularly interested in candidates who possess a background and a keen interest in generating input for safety analysis codes, as well as developing these codes by incorporating new physical models using the V&V (verification and validation) procedure. Candidates should also be experienced in conducting thermal-hydraulic experiments by designing and commissioning test rigs and analyzing the resulting data. This position is a three-year appointment (with the possibility of extension up to four years) at Khalifa University, located in Abu Dhabi, United Arab Emirates. The role falls within the domain of Thermal-hydraulics, Safety Analysis, and System Design of Nuclear Power Plants. Candidates must be prepared to relocate to Abu Dhabi for the duration of the appointment, commencing as soon as possible. A competitive salary and benefits package will be provided. For further inquiries on this position, please send an email to Dr. Yacine Addad at yacine.addad@ku.ac.ae To apply online for this position, visit www.ku.ac.ae (Requisition ID: 230000CA), including a detailed CV, a motivation letter, and a list of 3 references. Your responsibilities will include: ================================== • Work within a multi-university, multi-campus collaboration to investigate thermal-hydraulic phenomena through OECD-ATLAS project • Generate transient input deck for RELAP5 and TRACE for relevant topics in ATLAS project. • Revise and upgrade input deck for the OECD- ATLAS facility • Produce training materials for SNAP, RELAP5, and TRACE • Work closely with and contribute to the training of graduate students working on the project. • Conduct a thermal-hydraulic experiment via commissioning the test rig and conducting experimental measurements Qualifications: ============== • Ph.D. in nuclear physics, nuclear engineering or in a related field • High motivation and a solid desire to actively participate in experiments as well as to propose and undertake initiatives • Excellent oral and written communication skills; effective interpersonal skills to work effectively within a scientifically diverse team • Ability to successfully report and publish research results Required Experience: =================== • Safety analysis with Lump codes, such as: MARS/RELAP5/TRACE/SNAP - and/or - • Experience in the design, commissioning, and measurements of T-H experimental facilities. • Previous experience using one of the commercial CFD codes is a plus |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18553 when responding to this ad. | |
Name | Yacine Addad |
yacine.addad@ku.ac.ae | |
Email Application | Yes |
URL | http://www.ku.ac.ae |
Record Data: | |
Last Modified | 20:03:56, Wednesday, June 07, 2023 |
Job Record #18551 | |
Title | Head of Department (m/f/d), Process Engineering Department |
Category | PostDoc Position |
Employer | Leibniz-Institut für Werkstofforientierte Technologien - IWT |
Location | Germany, Bremen, Bremen |
International | Yes, international applications are welcome |
Closure Date | Monday, June 26, 2023 |
Description: | |
Become part of our team as a Head of Department (m/f/d) for "Multiphase Flow, Heat and Mass Transfer" in the Process Engineering Department full-time (39.2 h/week), initially for a limited period of 24 months with the prospect of continued employment for an indefinite period. To be recruited as soon as possible. Leibniz-IWT stands for research in the field of new materials, new processes and optimised components. Our work is interdisciplinary, international and practical. The scientific questions in our institute range from the production of materials, such as powder production for additive manufacturing, to the analysis of the final machined components, for example high-precision gears. This is how we shape the requirements of tomorrow. We need your expertise for: • Head of department in the field of multiphase flow with focus on numerical modelling and simulation of multiphase flows with heat and mass transfer and chemical reactions • Research on the fundamentals and applications of multiphase flows in atomisation, particle technology and thermoprocess technology • Acquisition and scientific management of research projects • Review activities and participation in expert committees (national and international) • Support in teaching (B.Sc. and M.Sc.) and supervision of doctoral students at the University of Bremen What we expect from you: • Successful doctorate in process engineering, mechanical engineering, fluid mechanics or related disciplines • Ability to assume responsibility as personnel, scientific and administrative head of the department as evidenced in previous project and team management, gender- and diversity leadership competence is considered beneficial • Early professional experience in a research and development area, e.g. as a PostDoc and desirably, Experience in the acquisition of scientific third-party funding • Proven knowledge and publications in the field of fluid mechanics of multiphase fluids and their modelling and simulation • Ability to combine different methodological approaches on different scales with machine learning approaches • English language ability at the C1 level as well as German language skills, which, if not available, will be learned during employment What you can expect from us: • Remuneration based the federal collective bargaining agreement (TV-L), pay category 15 (from EUR 5.017 per month in full time), annual bonus • Interdisciplinary research environment with broad expertise and equipment in the field of materials-oriented technologies and their process chains • Support in personal qualification, for example in the pursuit of a habilitation and professorship • Family-friendly, flexible working time models, e.g. part-time, flexitime, mobile work • Support in sporting activities Leibniz-IWT is a research institute certified for its family friendliness, and actively cultivates equality among all groups of people. We promote the professional development of women at the Institute and strongly encourage female candidates to apply. You can find information about our severely disabled representatives and inclusion officers on our website. We strongly encourage people with migration experience to apply. Severly disabled applicants will be given preference in case of equal qualifications. Please send your application with cover letter, curriculum vitae and certificates by 26.06.2026 by e-mail, quoting the reference number V 23-2, to: bewerbung@iwt-bremen.de |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18551 when responding to this ad. | |
Name | Prof. Dr.-Ing. Lutz Mädler |
lmaedler@iwt.uni-bremen.de | |
Email Application | Yes |
Phone | 004942121851200 |
Fax | 004942121851333 |
URL | https://www.iwt-bremen.de/de/nachwuchs-karriere/stellenangebote |
Address | bewerbung@iwt-bremen.de |
Record Data: | |
Last Modified | 10:12:32, Tuesday, June 06, 2023 |
Job Record #18540 | |
Title | Postdoctoral Fellow in fluid mechanics |
Category | PostDoc Position |
Employer | Tongji University |
Location | China, Shanghai, Shanghai |
International | Yes, international applications are welcome |
Closure Date | Friday, December 01, 2023 |
Description: | |
Applications are invited for a Postdoctoral Fellow in the Department of Hydraulic Engineering at Tongji University (China) in the area of experimental fluid mechanics or computational fluid dynamics with applications to multi-phase flows. The candidate will have the opportunity to collaborate with Professors in Tongji University and University of Newcastle (UK). The research effort is funded to conduct experiments in wave flumes and complementary high-fidelity numerical simulations to better understand the wave-structure interaction and predict sediment transport. This is a 36-month research position in the Department of Hydraulic Engineering in Dr. Deping Cao’s research lab in experimental and computational fluid mechanics. Further appointment will be contingent upon performance and availability of funding. Send application or any questions about the position to Dr. Deping Cao at 22504@tongji.edu.cn Required Qualifications - The successful applicant will have a strong background in experimental or computational fluid dynamics and turbulence, experience working with experimental measurements, and desire to work with and assist undergraduate and graduate students. - Experience with prior software experience in OpenFOAM, Xbeach, SWASH, FUNWAVE or Delft3D is desirable. - A strong academic record as evidenced by relevant course work, publications in peer-reviewed journals and/or conference papers - Excellent written and oral communication skills Review of candidates will begin immediately and continue until the position is filled. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18540 when responding to this ad. | |
Name | Cao Deping |
22504@tongji.edu.cn | |
Email Application | Yes |
Record Data: | |
Last Modified | 06:14:15, Tuesday, June 06, 2023 |
Job Record #18550 | |
Title | CFD-DEM modeling of Pneumatic Transport of non-spherical partic |
Category | PostDoc Position |
Employer | IFPEN |
Location | France, Lyon |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
Post-doctorate position at IFPEN-Lyon (France) “CFD-DEM modeling of Pneumatic Transport of non-spherical particles” Location: IFP Energies nouvelles (Solaize, Rhône, France), Process Design and Modeling Division – Chemical Engineering and Technology Department (R124) Supervisor / Contact: Dr. Mathieu Morin and Dr. Jean-Lou Pierson Chemical Engineering and Technology Department IFP Energies nouvelles - Etablissement de Lyon Rond-point de l'échangeur de Solaize BP 3 69360 Solaize Tel: 04 37 70 34 53 Mail: mathieu.morin@ifpen.fr; jean-lou.pierson@ifpen.fr Topic / position: Waste recovery is one of the main pillars of the energy transition. The energy needs associated with environmental issues require the use of new energy sources and the development of eco-efficient processes for recycling waste. In this context, thermal and/or catalytic solid waste treatment processes (urban, biomass or plastics) have become an essential step in their recovery process in a sustainable development and circular economy approach. The most common operations in bulk material processing and handling are dosing, weighing, drying, grinding, sieving, mixing, storage and conditioning. In the vast majority of cases, these operations are linked together by pneumatic conveying which becomes a key step in the process. The PHOBARS project (Pneumatic Handling Of Bio And Recycled Solids) is a collaboration between UTC (University of Technology of Compiègne), Neu-JKF Process and IFPEN which aims at studying the pneumatic transport of non- spherical powders resulting from plastic wastes or second-generation biomasses. Those particles are more challenging to convey and were less investigated in the literature. A lack of knowledge on the relationship among the properties of particles, the operating conditions, the dimensions and configuration of the installations, and the performance of the operation results in difficulty of design of transport lines. There is therefore a need to better understand and model the behaviour of these non-spherical powders during pneumatic transport in order to better control and optimize their implementation and transformation processes. As a part of the project, multi-scale modelling of experimental results according to different approaches such as Euler-Euler (TFM), Euler-Lagrange (DEM-CFD) or hybrid Euler-Lagrange (Multi-Phase-Particle in Cell, MP-PIC), is utilized to take into account the effect of gas/particle and particle/particle interactions on transport dynamics. CFD-DEM simulations of pneumatic conveying are increasingly used for modelling and analyzing key phenomena such as flow regimes and their transitions, particle attrition, electrostatic forces, etc. Despite the still very limited number of particles that can be treated by this approach, it remains the only one capable of giving a detailed description of the hydrodynamics of the operation by integrating all the interactions which take place within the system. The objective of this postdoc project is to perform CFD-DEM simulations to study the effect of particles shape and electrostatic phenomena on pneumatic transport of solids. The results will be compared to experimental data with the aim of developing numerical models capable of predicting gas/solid flow behaviour with various types of non-spherical solids and determining at which conditions the common TFM or MP-PIC approaches may be used without losing significant information on the flow dynamics. Phase diagrams of pneumatic conveying (ΔP vs. gas velocity for different solid flow rates) will then be plotted. Special attention will be paid to the implementation of non-spherical forces model to properly consider the hydrodynamic interactions between the fluid and the particles. The simulation will be performed for vertical and horizontal flow. The average data relative to ΔP, particle velocity, concentration, particle- particle and particle-wall forces will be collected for each simulation. In addition to phase diagrams, further effort will be dedicated to find the common properties/parameters that define the transition from one flow regime to the other as function of the main dimensionless parameters. Candidate profile: The candidate should have a PhD in Chemical or Mechanical Engineering with knowledge of multiphase flow. Extensive experience with CFD-DEM is required (LIGGGHTS, OpenFOAM, …) Duration and remuneration : 1.5 year contract. Gross salary of around 3150 euros/month + welcome bonus. To Apply: Please send your Resume and a Motivational letter |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18550 when responding to this ad. | |
Name | Mathieu Morin |
mathieu.morin@ifpen.fr | |
Email Application | Yes |
Address | Rond Point de l'échangeur de Solaize |
Record Data: | |
Last Modified | 17:12:55, Monday, June 05, 2023 |
Job Record #18549 | |
Title | Research Scientist Position in Multiphase Granular Flow |
Category | Job in Academia |
Employer | Guangdong Technion, Israel Institute of Technology (GTIIT) |
Location | China, guangdong, Shantou |
International | Yes, international applications are welcome |
Closure Date | Friday, December 01, 2023 |
Description: | |
The Chemical Engineering Program (group of Xi Gao,) is looking for 1 research scientist candidate to lead the computational research projects in CFD simulation of multiphase flow in chemical reactors and its industrial applications. Contract duration: 2-3 years. Project Details Multiphase reactors are widely used in the chemical industry, energy, metallurgy, and other industrial applications. To overcome limitations related to the design, optimization, and scale-up of multiphase reactors, it is very important to accurately simulate the complex multiphase flows, which involve multiscale multiphase hydrodynamics, simultaneous heat/mass transfer, and chemical reactions. The main objective of the project is to (1) understanding the multi-scale physical and chemical processes such as flow, transfer, chemical reaction, external fields (light, magnetism, etc.) in the multiphase chemical reactor, and their coupling mechanism, (2) construct multi-scale mathematical models or machine-learning (ML) assisted models to simulate the complex multiphase chemical reactor and develop accurate and efficient multiphase computational fluid dynamics (CFD) solver to simulate large-scale industrial reactors. Keywords Multiphase Flow; Chemical Reactor Simulation; Fluidization; Biomass/Coal Thermochemical Conversion; Machine Learning Selection Criteria - PhD degree in Chemical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, Applied mathematics or in a relevant engineering discipline (essential) - Strong background in multiphase flow or mathematical modeling (preferable) - Good communication skills, good command of English (essential) - Ability to work independently as well as in a team environment (essential) - Ability to author/co-author high-quality scientific publications (essential) Benefits: - Salary range: up to $49,020 / year (depending on qualifications of the candidate) - Subsidized housing at GTIIT, China - Health insurance: regular cover for Chinese citizens or private health insurance for foreigners - Professional conference travel allowance Application - Application deadline: Continuous till filled - Send below-required documents electronically to: xi.gao@gtiit.edu.cn Curriculum vitae and personal statement A publication list Names of three references PhD degree certificates |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18549 when responding to this ad. | |
Name | xi gao |
highxixi@gmail.com | |
Email Application | Yes |
URL | http://gaoxlab.com/ |
Address | 241 Daxue Road, Jinping District, Shantou, Guangdong Province, China |
Record Data: | |
Last Modified | 10:55:09, Monday, June 05, 2023 |
Job Record #18548 | |
Title | Project Research Associate |
Category | Job in Academia |
Employer | IIT Bombay |
Location | India, Maharashtra, Mumbai |
International | No, only national applications will be considered |
Closure Date | * None * |
Description: | |
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. Krishnendu Sinha), Department of Aerospace Engineering, Indian Institute of Technology, Bombay. 1. Title of Project: Ventilation CFD to determine the optimum placement of minimum sensors 2. Project Details: This project aims to use Computational Fluid Dynamics (CFD) to determine the airflow circulation in indoor spaces and identify recirculation zones that trap infectious particles. Reactor Model framework-based Infectivity Modelling: A well-mixed room is considered a CSTR (continuous stirred tank reactor) model wherein the air is mixed homogeneously throughout the enclosed space. Using various equations such as wells-Riley equations (models’ risk of infection due to airborne particles) will be studied and CFD model-based infectivity will be determined in different zones. The different zones will determine the areas where the risk of infection is higher and where the risk of infection is lower with the existing ventilation system and how the changes in intervention can reduce the higher infectivity risk zones. The project has potential applications in controlling the spread of infectious diseases in indoor settings and optimizing ventilation systems. 3. Project Duration: 2 Years 4. Project position(s) and number: Project Research Associate – 01 No. 5. Essential Qualification and Experience: MTech/ME or Equivalent degree in Aerospace Engineering /Mechanical Engineering/Chemical Engineering (preferred) /Environmental science and engineering a.Knowledge and experience in CFD (Computational Fluid Dynamics) b.Exposure and interest in software tools such as ANSYS Fluent. c. analytical and problem-solving skills. d.Data processing and Analysis. e.Good communication, writing, and teamwork skills. Desirable: a.The candidates with Proficiency in fluid mechanics, CFD, and design and Analysis software like PRO-E, CATIA, SolidWorks, Ansys, OpenFOAM, and Linux will be given preference. b.Knowledge and experience in infectivity modelling for indoor ad shared spaces. 6.Job Description We are seeking an experienced candidate to join our team. This will include, but not be limited to the following: a.Use a reactor model framework to determine the infectivity of indoor spaces. b.Provide recommendations for the optimum placement of sensors (PM, CO2, etc.) based on the results. c.Validate the CFD model predictions with sensor data obtained from other sub- projects. d.Collaborate with a team of researchers to optimize the operation of interventions required to improve ventilation and energy usage. e.Generating and presenting viable reports of the analysed data. f.Support the research of faculty and staff associated with ventilation work. 7.Pay Details: Level PR-O1: Salary ranges from Rs.33600 to Rs 67200 + Rs.6250.00/- Out of Campus Allowance (if applicable) p.m. 8. General Information Candidates before appearing for the interview shall ensure that they are eligible for the position they intend to apply for. Candidates desiring to appear for the Interview should submit their applications with the following documents to the office of the Principal Investigator (krishsinha.iitb@gmail.com) through email only as a single pdf file in the following order (failing to which application will not be considered for shortlisting procedure).: • Detailed CV including chronological discipline of degree/certificates obtained. • Experience certificates including research, industrial field and others. The position is temporary for a period of 1 year and tenable only for the duration of the project. The appointment is for time bound project and the candidate is required to work mainly for the successful completion of the project. The selection committee may offer a lower or higher designation and lower or higher salary depending upon the experience and performance of the candidate in the interview. Candidates called for the interview will be required to attend at his/ her own expenses. In the case of an online mode of interview, the candidate should make sure of uninterrupted Internet connection with good sound and video quality. Details of the venue and timing will be sent to the shortlisted applicants, and in case of online interview link will be shared via email. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18548 when responding to this ad. | |
Name | Krishnendu Sinha |
krishsinha.iitb@gmail.com | |
Email Application | Yes |
Address | Department of Aerospace Engineering, Indian Institute of Technology, Bombay. |
Record Data: | |
Last Modified | 11:38:03, Saturday, June 03, 2023 |