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| Job Record #19873 | |
| Title | Postdoctoral Position on Real-time Prediction via Deep Learning |
| Category | PostDoc Position |
| Employer | Beihang University |
| Location | China, -- Please Select (only U.S. / Can / Aus), Hangzhou |
| International | Yes, international applications are welcome |
| Closure Date | Tuesday, March 31, 2026 |
| Description: | |
The Computational Physics & Data Science Research Group at the Hangzhou International Campus, Beihang University invites applications for postdoctoral positions on Real-time Prediction Based on Deep Learning Position Details: Duration: Full-time for two years Salary: 320,000 – 400,000 RMB per year based on the candidate’s expertise Number of Position: 2 Positions Teaching Duties: None Desired profile 1. You have defended your Ph. D thesis less than 3 years from the date of this job offer. 2. Ph.D in Applied Mathematics, Aerodynamics, Fluid Mechanics, Computer Scienceetc. 3. Publish at least two articles about “Real-time Prediction Based on Deep Learning” in international authoritative journals as the first or corresponding author. 4. Proficient in developing code frameworks for “Real-time Prediction Based on Deep Learning” based on Nvidia framework, such as NVIDIA PhysicsNeMo. What we offer at Hangzhou International Innovation Institute, Beihang University: 1. A friendly, international and equitable work environment. 2. A complementary health insurance scheme offering excellent health care coverage in addition to social security. 3. Flexible working hours and arrangements. How to apply? Please send your CV and cover letter to zhengqinmin@buaa.edu.cn (1) Cover letter describing your interest and suitability for the post; (2) Full CV that includes the list of publications. My personal website: https://shi.buaa.edu.cn/zhengqinmin/zh_CN/index.htm https://shi.buaa.edu.cn/zhengqinmin/zh_CN/yjgk/210753/list/index.htm or https://scholar.google.com.hk/citations?hl=zh- CN&user=WjkkfhQAAAAJ&view_op=list_works&sortby=pubdate Qinmin Zheng 2025/11/10 University website: https://h3i.buaa.edu.cn/ |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19873 when responding to this ad. | |
| Name | QINMIN ZHENG |
| zhengqinmin@buaa.edu.cn | |
| Email Application | Yes |
| Phone | 15889676092 |
| URL | https://shi.buaa.edu.cn/zhengqinmin/zh_CN/index.htm |
| Address | Shuang Hong Qiao Road 166, Yuhang District |
| Record Data: | |
| Last Modified | 06:47:33, Sunday, November 09, 2025 |
| Job Record #19872 | |
| Title | CSC Master's Scholarship positions in Beihang University |
| Category | PhD Studentship |
| Employer | Beihang University |
| Location | China, -- Please Select (only U.S. / Can / Aus), Hangzhou |
| International | Yes, international applications are welcome |
| Closure Date | Tuesday, March 31, 2026 |
| Description: | |
Two CSC Master's Scholarship positions in Fall Semester are available in the Computational Physics and Data Science Research Group at Hangzhou International Campus of Beihang University Research areas: Intelligent fluid dynamics, data assimilation and deep learning, computational Fluid dynamics How to apply? Please send your CV and cover letter to zhengqinmin@buaa.edu.cn (1) Cover letter describing your interest and suitability for the post; (2) Full CV that includes the list of publications and research experience. Note: Only students with research experience are accepted for their applications. International graduate students' apply online: https://is.buaa.edu.cn/lxsq/yjs/yjs_ssyjs.htm My personal website: https://shi.buaa.edu.cn/zhengqinmin/zh_CN/index.htm or https://scholar.google.com.hk/citations?hl=zh- CN&user=WjkkfhQAAAAJ&view_op=list_works&sortby=pubdate |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19872 when responding to this ad. | |
| Name | QINMIN ZHENG |
| zhengqinmin@buaa.edu.cn | |
| Email Application | Yes |
| Phone | 15889676092 |
| URL | https://shi.buaa.edu.cn/zhengqinmin/zh_CN/index.htm |
| Address | Shuang Hong Qiao Road 166, Yuhang District |
| Record Data: | |
| Last Modified | 04:45:40, Sunday, November 09, 2025 |
| Job Record #19871 | |
| Title | Data Science and Engineering (DSE) PhD Positions at ORNL/UTK |
| Category | PhD Studentship |
| Employer | Oak Ridge Nat Lab / University of Tennessee |
| Location | United States, TN, Knoxville |
| International | Yes, international applications are welcome |
| Closure Date | Thursday, December 31, 2026 |
| Description: | |
The Bredesen Center presents an outstanding opportunity for both faculty members and students. I am currently recruiting students from the Data Science and Engineering (DSE) and Energy Science and Engineering (ESE) PhD programs. Detailed information about these PhD programs is available in the link below. This initiative fosters close collaboration between Oak Ridge National Lab and UTK, both located in Knoxville area. If you're considering a PhD degree through the Bredesen Center, it's important to recognize the highly interdisciplinary nature of these programs; an Aerospace Engineering or Mechanical Engineering background is not mandatory. The center offers a convenient funding mechanism and covers the program's first year, while faculty members from specific departments later assume the responsibility of RAs. The application deadline for all Bredesen Center doctoral programs is December 1th. |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19871 when responding to this ad. | |
| Name | Omer San |
| osan@utk.edu | |
| Email Application | Yes |
| URL | https://bredesencenter.utk.edu/faculty/omer-san/ |
| Record Data: | |
| Last Modified | 19:15:36, Friday, November 07, 2025 |
| Job Record #19870 | |
| Title | PhD in Microfluidics |
| Category | PhD Studentship |
| Employer | Mahindra University |
| Location | India, Telangana, Hyderabad |
| International | Yes, international applications are welcome |
| Closure Date | Sunday, January 25, 2026 |
| Description: | |
A PhD position is available in area of Microfluidics (computational/experimental) and Multiphysics Simulation. 1. Simulations and Experiments for Targeted Drug Delivery. 2. Development of models/method for lab-on-chip systems beyond std. paradigm. Required: Fluid Dynamics, CFD, PDEs, Numerical Methods.. Stipend: Rs. 30,000 per month + free boarding + free lodging. Apply: https://lnkd.in/gU79BBNf contact: sebastian.uppapalli@mahindrauniversity.edu.in |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19870 when responding to this ad. | |
| Name | sebastian uppapalli |
| sebastian.uppapalli@mahindrauniversity.edu.in | |
| Email Application | Yes |
| Record Data: | |
| Last Modified | 12:18:57, Friday, November 07, 2025 |
| Job Record #19869 | |
| Title | Engineer – Implementation & Digital Developments for CFD |
| Category | Job in Industry |
| Employer | Safran SA |
| Location | France, Magny Les Hameaux |
| International | Yes, international applications are welcome |
| Closure Date | Friday, January 30, 2026 |
| Description: | |
Join Safran Tech as a digital development and integration engineer dedicated to CFD simulation tools for turbomachinery applications. Your main mission will be to contribute to the development and optimization of the SoNICS code, the Group’s future reference software for 3D aerodynamic component design. This position involves implementing advanced numerical functionalities—solver, pre/post-processing, and detailed validation—to address the specific needs of Safran companies. You will work to ensure the robustness, efficiency, and consistency of digital developments, while playing a coordinating role with ONERA, Safran entities, and academic partners. Your expertise in scientific programming (Python, C, Fortran, Cuda, MPI), high performance computing (HPC), and your proficiency with Linux environments will be essential. You will also be responsible for maintaining skills, technical best practices, and methodologies within the Safran Tech reference team dedicated to SoNICS. This role offers a strong collaborative dynamic, strategic technical missions, and the opportunity to participate in innovative national and international projects. The ideal candidate should hold at least a Master’s degree (PhD preferred), have significant experience in CFD software development, excellent interpersonal skills, strong autonomy, and fluency in English. Occasional travel within France and abroad may be required for scientific projects or conferences. |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19869 when responding to this ad. | |
| Name | Chauvy |
| marc.chauvy@safrangroup.com | |
| Email Application | Yes |
| Record Data: | |
| Last Modified | 10:12:59, Friday, November 07, 2025 |
| Job Record #19868 | |
| Title | Postdoc position in entropy stable methods |
| Category | PostDoc Position |
| Employer | Old Dominion University |
| Location | United States, Virginia, Norfolk |
| International | Yes, international applications are welcome |
| Closure Date | Saturday, January 31, 2026 |
| Description: | |
Applications are invited for a postdoctoral research associate position in the Department of Mathematics and Statistics at Old Dominion University (R1 university in Norfolk, VA, USA). No teaching is required for this position. The selected candidate will receive a highly competitive salary, health insurance, and travel funds for participation in scientific conferences and meetings. The initial appointment is for a period of 1 year. The position is renewable annually for a period of up to 3 years subject to performance and funding availability. The position is available immediately, though a later start date is possible. This position will provide a unique opportunity to work on a cutting-edge project and closely collaborate with research scientists of NASA Langley Research Center. The focus of this project is on the development of new positivity-preserving entropy stable spectral collocation schemes for simulation of 3-D compressible viscous flows on unstructured grids. Our department has a history of producing exceptionally successful, independent, and productive postdocs and PhD students. We are looking for an enthusiastic and highly motivated candidate with a Ph.D. degree in Mathematics, Computer Science, Engineering or a closely related field. A solid background in numerical methods for PDEs, strong hands-on experience with large codes written in Fortran 90 or C++ and MPI, and effective communication skills (written/spoken English) are required. Interested candidates should e-mail a CV, a copy of undergraduate and graduate transcripts, a summary of recent work and research interests as a single PDF file (not exceeding 20 Mb) to nyamalee@odu.edu. Note that only those candidates who are selected for further consideration will be contacted. Review of applications will begin immediately and continue until the position is filled. |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19868 when responding to this ad. | |
| Name | Nail Yamaleev |
| nyamalee@odu.edu | |
| Email Application | No |
| Record Data: | |
| Last Modified | 18:09:18, Thursday, November 06, 2025 |
| Job Record #19867 | |
| Title | Seven fully funded PhD scholarships - EPSRC CDT |
| Category | PhD Studentship |
| Employer | University of Bristol |
| Location | United Kingdom, Bristol |
| International | Yes, international applications are welcome |
| Closure Date | Sunday, January 11, 2026 |
| Description: | |
***EPSRC Centre for Doctoral Training in Sustainable Sound Futures*** Are you looking to pursue a career in research, either in industry or academia? The University of Bristol is offering seven fully funded PhD scholarships starting in Autumn 2026 through the EPSRC Centre for Doctoral Training in Sustainable Sound Futures. As part of this programme, you will gain deep, specialist knowledge in aeroacoustics and aerodynamics, together with a broad set of transferable skills and knowledge of how sound fits into industry, society and the public sector. Available projects are offered in partnership with Industry sector leaders (Safran SLS, Leonardo Helicopters, Onera, Accuris, etc). Research areas include Aeroacoustics, Aerodynamics, Fluid Dynamics, Turbulence, Experimental Methods, Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI). The complete list of projects is available in the attached document and at the following link: https://soundfutures.salford.ac.uk/2026-phd-projects/ If you have any further questions, don't hesitate to contact Prof. Mahdi Azarpeyvand, lead of the Aerodynamics and Aeroacoustics research group, or any of the prospective supervisors listed in the project descriptions. You can apply at the following link: https://soundfutures.salford.ac.uk/apply-2/. Application deadline is on January 11th, 2026. |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19867 when responding to this ad. | |
| Name | Mohammad Jadidi |
| m.jadidi@bristol.ac.uk | |
| Email Application | No |
| URL | https://soundfutures.salford.ac.uk/2026-phd-projects/ |
| Record Data: | |
| Last Modified | 15:41:57, Thursday, November 06, 2025 |
| Job Record #19866 | |
| Title | Open Rank Faculty Position at UNC Charlotte |
| Category | Job in Academia |
| Employer | University of North Carolina at Charlotte |
| Location | United States, NC, Charlotte |
| International | Yes, international applications are welcome |
| Closure Date | * None * |
| Description: | |
Working Title Assistant, Associate, or Full Professor Classification Title 9-Mo Tenure-Track/ Tenured Faculty Department Mechanical Engineering and Engineering Science Position Designation Faculty Employment Type Permanent - Full-time Months per year 9 Primary Purpose of Department The Department of Mechanical Engineering and Engineering Science (MEES) is the largest department within the William States Lee College of Engineering, staffed by 52 full-time faculty members and 15 staff members who serve over 1,600 undergraduate and graduate students. There are six active NSF CAREER awardees, and several faculty are recognized as Fellows of leading professional societies. The MEES department is internationally recognized for research programs in advanced manufacturing, precision metrology, battery research, motorsports/automotive engineering, control systems, computational mechanics, as well as emerging areas of research focus such as hypersonics and autonomous vehicles. The Department is home to the Center for Precision Metrology, the Center for Additive Manufacturing of Advanced Ceramics and the Battery Complexity, Autonomous Vehicle and Electrification Research Center. The Department has also recently launched an undergraduate concentration in Aerospace Engineering. The College of Engineering is leading initiatives in several areas of strategic research focus for the university, including Advanced Manufacturing and Metrology, Transformational Energy, and Transportation and Advanced Mobility. UNC Charlotte, with more than 32,000 students, is a top-tier, urban R1 research university. The University is recognized for its research excellence, innovation, and student achievement that drive progress across North Carolina, the Southeastern region, and the United States. Driven by a spirit of innovation and discovery, UNC Charlotte serves as a center of research excellence that advances knowledge in areas such as advanced manufacturing, artificial intelligence, advanced materials, sustainability, energy, health, and urban systems—addressing challenges that shape the future of our world. The campus is located on a 1000-acre wooded campus in the University City neighborhood of Charlotte. The Charlotte metro area is centrally located in North Carolina’s Piedmont region, with a population of nearly three million. It is one of the fastest-growing large cities in the United States, attracting highly educated professionals and research partnerships in the field of energy, advanced manufacturing, transportation, and financial technology. Eight Fortune 500 are headquartered in the Charlotte region, including Honeywell, Duke Energy, and Albemarle Corporation. The Charlotte airport is a major international hub and offers direct flights to most cities in the US and major destinations abroad. Charlotte offers a vibrant blend of professional sports, arts and culture, outdoor adventure, and career opportunities—making it a top destination to live. The city offers a mix of urban and natural amenities, featuring both a lively uptown area and numerous hiking trails. Within a three-hour drive, many enjoy the beautiful Great Smoky Mountains or the exciting shores of the Atlantic Ocean. Charlotte is consistently ranked among the best places to live in the country. Essential Duties and Responsibilities The Department of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte is currently seeking exceptionally qualified candidates for a 9-month tenure-track or tenured faculty position (001915) at the rank of Assistant, Associate, or Full Professor with expertise and research interests in the broad areas listed below, and an expected start date of August 2026. Specific areas of interest include, but are not limited to: hypersonics, behavior of fluids and materials under extreme conditions, advanced propulsion systems and combustion concepts, material response to dynamic loading and hypervelocity impacts, high-speed aerodynamics, and/or the integration of AI/ML/digital twin technologies into these areas. Candidates with expertise in computational or experimental approaches are encouraged to apply. Minimum Experience/Education: UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline. Preferred Education, Skills and Experience Applicants must hold a Ph.D. in one of the following areas: Mechanical Engineering, Materials Science, Aerospace Engineering, or a closely related field by the time of appointment. Applicants should be committed to teaching at the undergraduate and graduate levels. It is expected that the successful candidate will build strong collaborations with industry partners and national laboratories, publish in leading research journals, and establish a strong externally-funded research program. Applicants should also be committed to supervising undergraduate capstone projects and graduate theses and dissertations. Priority will be given to candidates with strong research records, as evidenced by peer-reviewed publications, externally funded research, and a plan for future research that aligns with the university’s and department’s research focus in this area. Preference will be given to candidates who have experience with or can meet the requirements for participating in projects regulated by the International Traffic in Arms Regulations (ITAR). |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19866 when responding to this ad. | |
| Name | Praveen K Ramaprabhu |
| pramapra@uncc.edu | |
| Email Application | No |
| Phone | 7048042778 |
| URL | https://jobs.charlotte.edu/postings/64881 |
| Address | 9221 University City Blvd, Charlotte, NC 28223 |
| Record Data: | |
| Last Modified | 15:57:20, Monday, November 03, 2025 |
| Job Record #19865 | |
| Title | Junior Research fellow |
| Category | Job in Academia |
| Employer | Indian Institute of Technology Hyderabad |
| Location | India, Telangana, Sangareddy, Hyderabad |
| International | No, only national applications will be considered |
| Closure Date | Saturday, November 15, 2025 |
| Description: | |
Job Description: The selected candidate is required to simulate the flapping wing dynamics of a lightweight flapping wing system. He/she will bring expertise in fluid mechanics and solid mechanics. He/she will perform Fluid-Structure-Interaction (FSI) simulations using ANSYS. Essential Qualifications and Skills: -> Candidate should have completed B. Tech/M. Tech in Mechanical or Aerospace Engineering with First Division. GATE score would be an advantage. -> Strong Knowledge of Fluid Dynamics and Solid Mechanics. -> Working Knowledge of ANSYS Fluent and ANSYS Mechanical. -> Working knowledge of Mesh Generation using commercial packages (ANSYS/ICEMCFD etc.) Terms and conditions: The consolidated monthly salary will be ₹ 37000/- The appointment is initially for a period of three months and can be extended for up to one year, depending on performance. Prospective candidates are invited to submit their curriculum vitae (CV) by Email to [sbehera@mae.iith.ac.in] with the contact details of one reference. Deadline to apply: November 15, 2025 |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19865 when responding to this ad. | |
| Name | Sachidananda Behera |
| sbehera@mae.iith.ac.in | |
| Email Application | Yes |
| Address | IIT Hyderabad |
| Record Data: | |
| Last Modified | 08:04:59, Monday, November 03, 2025 |
| Job Record #19864 | |
| Title | PhD researcher |
| Category | Job in Academia |
| Employer | University of Louvain (UCLouvain) |
| Location | Belgium, Louvain-la-Neuve |
| International | Yes, international applications are welcome |
| Closure Date | Sunday, February 01, 2026 |
| Description: | |
PhD Scholarship in Computational Fluid Dynamics at the University of Louvain A fully funded PhD position is available in the field of Computational Fluid Dynamics (CFD) at the University of Louvain (UClouvain). The successful candidate will conduct research on turbulent natural convection with an evaporative free surface — a topic of great relevance to both environmental and engineering applications. These complex flows occur in natural systems such as oceans and lakes, as well as in technological contexts including power generation and advanced heat-transfer systems. This project forms part of a broader research initiative aimed at deepening our understanding of natural convection at high turbulence intensities with phase-change phenomena such as evaporation and boiling. The successful candidate will join the Multiphase and Reacting Flows Group led by Professor M. Papalexandris at the Institute of Mechanics, Materials and Civil Engineering at UCLouvain. Further information about the group’s activities can be found on our website: https://sites.google.com/site/mvpapalexandris/ The scholarship offers - A competitive salary - Full insurance and social benefits - Financial support for attending conferences and workshops - Access to state-of-the-art computational facilities Required qualifications - A Master’s degree in Engineering, Mathematics or Physics (preferably with some background in fluid mechanics and numerical analysis) - Strong academic performance with a minimum master’s average grade of 70/100. - Proficiency in programming, preferably in C/C++ or Python - Strong communication skills and proficiency in written and spoken English Interested applicants are invited to submit the following documents to Professor M. Papalexandris, miltos@uclouvain.be 1. A detailed CV 2. Academic transcripts 3. A statement of research interests, and 4. The names and contact details of two references |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #19864 when responding to this ad. | |
| Name | M. Papalexandris |
| miltos@uclouvain.be | |
| Email Application | Yes |
| URL | https://sites.google.com/site/mvpapalexandris/home |
| Record Data: | |
| Last Modified | 09:21:53, Friday, October 31, 2025 |