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[Sponsors] |
Job Record #18287 | |
Title | Postdoctoral Research Scholar Ship Hydrodynamics |
Category | PostDoc Position |
Employer | IIHR—Hydroscience & Engineering at The University of Iowa |
Location | United States, Iowa, Iowa City |
International | Yes, international applications are welcome |
Closure Date | Wednesday, May 03, 2023 |
Description: | |
IIHR—Hydroscience & Engineering, THE UNIVERSITY OF IOWA, has an immediate opening for a Postdoctoral Research Scholar in experimental methods with applications in ship hydrodynamics under the supervision of Professor Frederick Stern and Dr. Yugo Sanada. The initial appointment is full-time for 2 years, with the possibility of renewal subject to satisfactory performance and availability of continued funding. This is an immediate opening and applications will be considered until a successful candidate has been identified. Salary will be commensurate with qualifications and experience. Information regarding the Office of Postdoctoral Scholars can be found at http://postdoc.grad.uiowa.edu. Required Education: Ph.D. in mechanical or aerospace engineering, or closely related discipline prior to starting this position is required. Required Qualifications: Demonstrated interest in experimental methods with applications in ship hydrodynamics for physical understanding and computational fluid dynamics (CFD) validation data, including use of wave basin and/or towing tank facilities, free running models and tracking systems, and both global and local flow measurement systems along with use of integrated computational fluid dynamics for design of experiments and in support physical understanding and development of reduced order models. Highest priority will be given to candidates with demonstrated expertise in advanced local flow measurement systems such as particle image velocimetry (PIV) and/or particle tracking velocimetry (PTV). Strong coding experience and skills using HPC with MPI and programming languages (Fortran or C) Excellent written and oral communication skills The successful candidate will have the opportunity to work closely with faculty, staff, and students of IIHR-Hydroscience and Engineering (www.iihr.uiowa.edu), a national and global leader in environmental and fluids-related research, education, and service. The University of Iowa is one of the nation's top public research universities and is known around the world for its balanced commitment to the arts, sciences, and humanities. The University of Iowa is in Iowa City, a community built around higher education, with vibrant cultural opportunities and a long history of international connections, leadership, and accomplishment. Iowa City offers the safe, friendly quality of life for which the Midwest is known. Information regarding some of the resources that the University of Iowa and the local area provide can be found at (https://worklife.uiowa.edu). Applicants should submit a resume with a list of at least three references and copies of selected publications, if appropriate, at https://jobs.uiowa.edu/postdoc/view/3761. The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination because of race, creed, color, religion, national origin, age, sex, pregnancy, disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, associational preferences, or any other classification that deprives the person of consideration as an individual. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18287 when responding to this ad. | |
Name | Fred Stern |
frederick-stern@uiowa.edu | |
Email Application | No |
URL | https://jobs.uiowa.edu/postdoc/view/3761 |
Address | 130 W Harrison St. Iowa City, IA 52245 |
Record Data: | |
Last Modified | 15:55:47, Friday, February 03, 2023 |
Job Record #18286 | |
Title | Postdoctoral Research Scholar Soft Robotics |
Category | PostDoc Position |
Employer | The University of Iowa, IIHR-Hydroscience & Engineering |
Location | United States, Iowa, Iowa City |
International | Yes, international applications are welcome |
Closure Date | Friday, March 31, 2023 |
Description: | |
IIHR – Hydroscience & Engineering (https://www.iihr.uiowa.edu/) and the College of Engineering (https://engineering.uiowa.edu/) at the University of Iowa (https://uiowa.edu/) seeks a highly motivated postdoctoral research scholar to conduct research with Dr. Caterina Lamuta (https://www.caterinalamuta.com/)The initial appointment is full-time for one year with the possibility of renewal subject to satisfactory performance and availability of continued funding. This is an immediate opening and applications will be considered until a successful candidate has been identified. Research will focus on design, manufacturing, testing, and control of a novel soft robot for underwater applications powered by artificial muscles. Key areas of responsibility include: • robotics • mechanical design • smart materials The successful candidate will have the opportunity to work closely with faculty, staff, and students of IIHR-Hydroscience and Engineering (www.iihr.uiowa.edu), a national and global leader in environmental and fluids-related research, education, and service. The University of Iowa is one of the nation's top public research universities and is known around the world for its balanced commitment to the arts, sciences, and humanities. The University of Iowa is located in Iowa City, a community built around higher education, with vibrant cultural opportunities and a long history of international connections, leadership, and accomplishment. Iowa City offers the safe, friendly quality of life for which the Midwest is known. Information regarding some of the resources that the University of Iowa and the local area provide can be found at (https://worklife.uiowa.edu). Required Education: Ph.D. in Mechanical Engineering or a relevant science or engineering field prior to starting this position is required. Required Qualifications: Prior experience and significant level of expertise with/in mechanical design and manufacturing Familiarity with FEM analysis Experience with CAD modeling Prior experience and significant level of expertise using Matlab/Simulink Prior experience in robotics Demonstrated knowledge of implementation of control algorithms for robotic devices Demonstrated effective oral and written communication skills. Desirable Qualifications: Previous experience with the design and testing of soft robotic devices Previous experience presenting results at scientific conferences and established publication record. Pay is commensurate with experience. Applicants are required to submit a cover letter and resume/cv with a list of at least three references at https://jobs.uiowa.edu/postdoc/view/3874 The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18286 when responding to this ad. | |
Name | Caterina Lamuta |
caterina-lamuta@uiowa.edu | |
Email Application | No |
URL | https://jobs.uiowa.edu/postdoc/view/3874 |
Address | 130 W. Harrison St. Iowa City, IA 52245 |
Record Data: | |
Last Modified | 15:18:21, Friday, February 03, 2023 |
Job Record #18259 | |
Title | Fully Funded 4-year PhD in CFD (deadline is 17th Feb)) |
Category | PhD Studentship |
Employer | Northumbria University |
Location | United Kingdom, Newcastle |
International | Yes, international applications are welcome |
Closure Date | Friday, February 17, 2023 |
Description: | |
The wind energy market is driven by Horizontal Axis Wind Turbines (HAWTs), however, Vertical Axis Wind Turbines (VAWTs) have the potential to outperform them. Although VAWTs are considered to have lower aerodynamic efficiencies, recent studies show that VAWTs, in array configurations, are much better suited for future wind farms by producing significantly more power per square meter. The fatigue issues and material failures, due to cyclic stresses in the earlier VAWTs designs, have been a major problem faced by the wind industry which has prevented unlocking the potential of VAWTs for wind energy conversion. Recent advances in computational modelling have enabled an in-depth understanding of the aerodynamic and fluid-structure interactions of wind turbines. These tools can be used to investigate the applications of new structures and innovative blade designs to overcome most of the fatigue issues for VAWTs. The overall aim of this research is to enhance the integration of numerical and experimental models with real-condition wind farms data and innovative geometries to reveal the potential high performance of VAWTs both individually and in array configurations. As a case study, the proposed method will be used to investigate and optimise the aerodynamics and structural integrity of an innovative VAWT which is designed to withstand strong winds. The co-supervised PhD student at Northumbria University will be involved in computational and experimental modelling and optimisation of wind turbines using an in-house code and wind tunnels. Experimental investigations in the industry will be used to validate the numerical model aerodynamic performance and aeroelastic instabilities predictions. Students with a strong research interest in Renewable Energy are encouraged to apply for the studentship. We are seeking to recruit a highly motivated PhD student with a background in any of the followings: Energy, Mechanical Engineering, Applied Mathematics, Materials Science, Environmental Engineering, Aerodynamics, CFD. Supervisor websites: https://www.northumbria.ac.uk/about-us/our-staff/r/mohammad-rahmati/ https://www.northumbria.ac.uk/about-us/our-staff/d/laurent-dala/ Academic Enquiries This project is supervised by Dr Mohammad Rahmati. For informal queries, please contact mohammad.rahmati@northumbria.ac.uk. For all other enquiries relating to eligibility or application process please use the email form below to contact Admissions. Eligibility Requirements: Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non- UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement. Appropriate IELTS score, if required. Applicants cannot apply for this funding if they are already a PhD holder or if currently engaged in Doctoral study at Northumbria or elsewhere. Home and International students (inc. EU) are welcome to apply. The studentship is available to Home and International (including EU) students and includes a full stipend at UKRI rates (for 2022/23 full-time study this is £17,668 per year) and full tuition fees. Studentships are also available for applicants who wish to study on a part-time basis (0.6 FTE, stipend £10,600 per year and full tuition fees) in combination with work or personal responsibilities. Please note: to be classed as a Home student, candidates must meet the following criteria: Be a UK National (meeting residency requirements), or have settled status, or have pre-settled status (meeting residency requirements), or have indefinite leave to remain or enter. If a candidate does not meet the criteria above, they would be classed as an International student. Applicants will need to be in the UK and fully enrolled before stipend payments can commence, and be aware of the following additional costs that may be incurred, as these are not covered by the studentship. For further details of how to apply, entry requirements and the application form, see: https://www.findaphd.com/phds/project/aerodynamic-design-and-aeroelasticity- analysis-of-vertical-axis-wind-turbine-farms-renu23-ee-mce-rahmati/?p153380 For applications to be considered for an interview, please include a research proposal of approximately 1,000 words and the advert reference (advert reference (RENU23 /EE/MCE/RAHMATI)). Deadline for applications: 3rd February 2023 Start date of the course: 1st October 2023 |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18259 when responding to this ad. | |
Name | MT Rahmati |
mohammad.rahmati@northumbria.ac.uk | |
Email Application | Yes |
Record Data: | |
Last Modified | 13:13:38, Friday, February 03, 2023 |
Job Record #18197 | |
Title | Two PhD studentships in CFD (Students already in the USA) |
Category | PhD Studentship |
Employer | Florida International University |
Location | United States, Florida, Miami |
International | Yes, international applications are welcome |
Closure Date | Sunday, April 30, 2023 |
Description: | |
The Department of Civil Engineering at the Florida International University is looking for two fully-funded PhD student positions on CFD modeling of Urban Heat Island and Hydraulic Structures using preferably OpenFOAM. The Florida International University (FIU) Wall of Wind (WOW) is the United States' only university-based full-scale simulator capable of producing Category 5 hurricane winds (157+ mph). Please send your CV and a PDF of your most relevant publication to arleon@fiu.edu. Qualified candidates for the positions will be contacted for a Skype interview within one week of application. Only qualified candidates will be contacted. Preference will be given to students already in the United States (American students or International Students with F1 Visa Status) |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18197 when responding to this ad. | |
Name | Arturo Leon |
arleon@fiu.edu | |
Email Application | Yes |
URL | https://web.eng.fiu.edu/arleon/index.html |
Record Data: | |
Last Modified | 03:52:35, Friday, February 03, 2023 |
Job Record #18285 | |
Title | Research Fellow in Multi-Disciplinary Analysis and Optimisation |
Category | PostDoc Position |
Employer | University of Southampton |
Location | United Kingdom, Southampton |
International | Yes, international applications are welcome |
Closure Date | Tuesday, March 14, 2023 |
Description: | |
You will join the Aerodynamics and Flight Mechanics (AFM) Research Group at the University of Southampton. You will be working under the supervision of Dr Andrea Da Ronch on the project “Out of Cycle Next Generation Highly Efficient Air Transport (ONEheart)”. The project is a large, national effort led by Airbus Operations Ltd with several industrial and academic partners. The aim of this position is to perform multi-disciplinary analysis and optimisation of derived and novel aircraft configurations using a monolithic architecture by taking full advantage of fast aerodynamic tools (medium fidelity and data-driven approaches) coupled with structural dynamics tools. There will also be opportunities to supervise post-graduate students and to get involved in other projects in the fields of data-driven aerodynamic models and aircraft design development. The AFM research group is comprised of experts in theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You will join a vibrant team of other postdoctoral researchers and graduate students working in different areas of aerospace and aeronautics, covering the entire spectrum of fidelity levels. You will have or be close to completing a PhD in multi-disciplinary optimisation of fixed/rotary wing aircraft. Experience with developing models and methods for fixed/rotary wing aircraft optimisation is critical. Experience with SU2, or other aerodynamic analysis tools (medium to high fidelity preferred), and machine learning (pytorch, tensorflow), being comfortable with analysis tools such as MATLAB, Python, and high-performance computing are highly desirable. Strong communication and language skills, as evidenced by publications and presentations, are essential. Please contact Dr Andrea Da Ronch (a.da-ronch@soton.ac.uk) for further details about the position. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.’ Application Procedure You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Sian Gale (Recruitment Team) on +44 (0) 23 8059 2750, or email recruitment@soton.ac.uk. Please quote reference 2081822DA-R on all correspondence. Further details: We believe equality, diversity and inclusion are fundamental to making the University of Southampton a welcoming, vibrant and successful organisation. Having a diverse workforce, inclusive of people of all ages and beliefs, from different racial, educational and social backgrounds opens up a wealth of possibilities, makes us more creative and accelerates our impact on society. We welcome applicants that value the diversity of our community and are willing to play their part in supporting the mission of inclusivity. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18285 when responding to this ad. | |
Name | Andrea Da Ronch |
a.da-ronch@soton.ac.uk | |
Email Application | Yes |
Record Data: | |
Last Modified | 17:58:15, Thursday, February 02, 2023 |
Job Record #18284 | |
Title | Research fellow in Multirotor Aerodynamics |
Category | PostDoc Position |
Employer | University of Southampton |
Location | United Kingdom, Southampton |
International | Yes, international applications are welcome |
Closure Date | Tuesday, March 07, 2023 |
Description: | |
You will join the Aerodynamics and Flight Mechanics (AFM) Research Group at the University of Southampton. You will be working under the supervision of Dr Andrea Da Ronch on the project “Out of Cycle Next Generation Highly Efficient Air Transport (ONEheart)”. The project is a large, national effort led by Airbus Operations Ltd with several industr ial and academic partners. The aim of this postdoctoral research position is to investigate the strong aerodynamic and aeroelastic interaction of multiple rotors with the wing, and the development of suitable design tools for aircraft design. There will also be opportunities to supervise post-graduate students and to get involved in other projects in the fields of reduced-order modelling via machine learning and aircraft design development. The AFM research group is comprised of experts in theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You will join a vibrant team of other postdoctoral researchers and graduate students working in different areas of aerospace and aeronautics, covering the entire spectrum of fidelity levels. You will have or be close to completing a PhD in computational aerodynamics or aeroelasticity of fixed/rotary wing aircraft. Experience with developing aerodynamic models and methods for fixed/rotary wing aircraft is critical. Experience with SU2, or other aerodynamic analysis tools (medium to high fidelity preferred), and multibody tools, being comfortable with analysis tools such as MATLAB, Python, and high-performance computing are highly desirable. Strong communication and language skills, as evidenced by publications and presentations, are essential. There are a great range of benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. The University holds an Athena SWAN silver award in recognition of its’ continued commitment to improving equality for women in science and engineering. We will give due consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy*, and onsite childcare facilities. Please contact Dr Andrea Da Ronch (a.da-ronch@soton.ac.uk) for further details about the position. *Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. Application Procedure You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Janice Poon (HR Recruitment Team) on +44 (0) 23 8059 2750 or email recruitment@soton.ac.uk Please quote reference 2071422DA-R on all correspondence. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18284 when responding to this ad. | |
Name | Andrea Da Ronch |
a.da-ronch@soton.ac.uk | |
Email Application | No |
Record Data: | |
Last Modified | 17:56:24, Thursday, February 02, 2023 |
Job Record #18283 | |
Title | Aircraft State Modelling & Separation for Fatigue Design |
Category | PhD Studentship |
Employer | University of Southampton |
Location | United Kingdom, Southampton |
International | Yes, international applications are welcome |
Closure Date | Sunday, April 30, 2023 |
Description: | |
Applications are invited for a Ph.D. studentship on Aircraft State Modelling & Separation for Fatigue Design. The scholarship is funded by Airbus Operations Ltd through an EPSRC Industrial CASE Award. The project has the potential of significantly improving the fatigue design and maintenance of an aircraft. Fatigue design and fatigue damage estimates are based on many factors such as design and performance assumptions, manufacturing, component material, stress cycle calculations and service conditions. Of these, the stress cycles and service conditions experienced by the aircraft are related to the loads acting on the aircraft during flight, such as those resulting from the number (and type) of gusts and manoeuvres experienced by the aircraft. Thus, refined information on the number and severity of gusts could improve the fatigue damage estimates of the aircraft. The hypothesis is that machine learning could be applied to historic datasets of in-service and flight test data to find specific performance clusters and automatically identify/separate the aircraft dynamics due to aircraft control from the dynamics due to gust or environmental factors/phenomenon. More accurate, in-service and flight-test based, statistical data could then be used for fatigue design to improve damage estimates and ultimately reduce the amount of time an aircraft spends on the ground for inspection of component failures. Such research is of utmost importance for the aerospace industry and Airbus has a strong interest in developing a maintenance system which makes the aircraft available when needed by the airline at minimum maintenance cost and which opens opportunities for new maintenance business models and services. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in Aerospace Engineering. Further details on eligibility and about the EPSRC case programme can be found at https://www.ukri.org/what-we-offer/developing-people-and- skills/epsrc/studentships/industrial-case/. The studentship is for 4 years and will provide full coverage of tuition fees, a generous travel budget, support for a placement of at least 3 months at Airbus, Filton, and an annual tax-free enhanced stipend of circa £20,000. If you wish to discuss any details of the project informally, please contact Dr. Andrea Da Ronch, Aerodynamics and Flight Mechanics Research Group, Email: a.da- ronch@soton.ac.uk, Tel: +44 (0) 2380 59 4787. Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Closing date: applications should be received no later than 31 May 2023 for standard admissions, but later applications may be considered depending on the funds remaining in place. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18283 when responding to this ad. | |
Name | Andrea Da Ronch |
a.da-ronch@soton.ac.uk | |
Email Application | No |
Record Data: | |
Last Modified | 17:54:21, Thursday, February 02, 2023 |
Job Record #18109 | |
Title | CFD modeling of biomass dewatering |
Category | PostDoc Position |
Employer | Louisiana State University |
Location | United States |
International | Yes, international applications are welcome |
Closure Date | * None * |
Description: | |
Job Description: The LSU MIE Department is working on a project which seeks to build a fundamental understanding of a biomass dewatering process. We are seeking a highly motivated Postdoctoral Researcher to help us create machine learning-based and computational models which will help gain a better understanding of the process. This position will be for an initial one-year term, with the potential of subsequent renewals. Job Responsibilities: Create CFD and data-driven models, lead or assist preparation of peer-reviewed publications, support bi-weekly and quarterly reporting to our industry partner, and support proposal writing. Mentor and train undergraduate and graduate students. Minimum Qualifications: • PhD in Mechanical Engineering or related field. • Strong background in fluid dynamics, computational/mathematical modeling, and heat transfer. • Experience using open-source and commercial CFD codes (e.g., ANSYS, OpenFOAM, etc.). • Experience with scientific code development using software/programming languages: e.g., FORTRAN, C/C++, MATLAB, Python, etc. Application Instructions: If interested, please email a cover letter, resume to me at oowoyele@lsu.edu. Benefits: LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more! |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18109 when responding to this ad. | |
Name | Ope Owoyele |
oowoyele@lsu.edu | |
Email Application | Yes |
Record Data: | |
Last Modified | 21:32:55, Wednesday, February 01, 2023 |
Job Record #18282 | |
Title | CFD Engineer |
Category | Job in Industry |
Employer | Koch Industries |
Location | United States, Wichita, Kansas |
International | No, only national applications will be considered |
Closure Date | Tuesday, February 28, 2023 |
Description: | |
Koch-Glitsch is a complete solutions provider with extensive knowledge, experience, and unique capabilities. Across the chemical, petrochemical, refining, gas processing, pharmaceutical and specialty chemical industries, Koch-Glitsch is recognized as a global leader in mass transfer and separations equipment as well as related services, with a full range of capabilities to meet your toughest need. Koch-Glitsch is a part of Koch Engineered Solutions (KES). Koch-Glitsch is looking for a CFD Engineer in Wichita, KS to facilitate technical design and optimization of mass transfer and mist elimination equipment utilized in the oil and gas, petrochemical and chemical industries. What You Will Do In Your Role You will own and execute CFD projects from the proposal stage through analysis, reporting, and presentation You will contribute to long-term business growth through technology and product development and work with the business units to leverage CFD simulation capabilities to improve product designs, improve our understanding of our products and technologies, reduce process/warranty risk, and assist the order acquisition phase by demonstrating technical superiority and generating innovative solutions for our customers The Experience You Will Bring Requirements: Hands-on experience with ANSYS FLUENT and/or STAR-CCM+ or other commercial CFD software Knowledge and understanding of fluid mechanics in particular multiphase flow What Will Put You Ahead Master’s Degree or Doctorate in Mechanical or Chemical Engineering or related disciple Prior experience in mass transfer technology equipment design or manufacturing Experience working in the oil and gas industry 3+ years using commercial CFD code Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: www.kochcareers.com/doc/Everify.pdf |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18282 when responding to this ad. | |
Name | Recruiter |
ryan.petkac@kochgs.com | |
Email Application | Yes |
URL | http://https://jobs.kochcareers.com/jobs/11738507-cfd-engineer |
Address | ryan.petkac@kochgs.com |
Record Data: | |
Last Modified | 15:05:32, Wednesday, February 01, 2023 |
Job Record #18175 | |
Title | Postdoc in the field of heat and mass transfer control |
Category | PostDoc Position |
Employer | Gyeongsang National University |
Location | South Korea, Gyeongnam, Jinju |
International | Yes, international applications are welcome |
Closure Date | Friday, February 10, 2023 |
Description: | |
There is an open position for a postdoc researcher who can do self-directed research for energy applications with professor Duckjong Kim at the department of mechanical engineering, Gyeongsang National University. The requirements for the applicant are - majoring in mechanical engineering (thermal engineering) - having in-depth experience in numerical simulation of heat and mass transfer - having at least two first-authored articles published in Q1/Q2-level SCI(E) journals since 2021 (must check at https://www.resurchify.com/ranking) - being available to join by March-April 2023. Until this time, professor Duckjong Kim has published papers on similar topics in Energy, Energy Conversion and Management, Advanced Materials, Carbon, Nanoscale, and so on. In the first contracted year, the researcher will receive at least 3,000,000 KRW/month as a salary (including tax, but some part of the tax can be refunded), 3,000,000 KRW/year as a discharge allowance, and some amount of incentive. Also, depending on the working periods, the salary will be increased. Interested researchers are encouraged to submit their Curriculum Vitae to the email address below: Professor Duckjong Kim, Department of Mechanical Engineering Gyeongsang National University 501 Jinju-daero, Jinju, Gyeongnam 52828, Republic of Korea e-mail: dkim@gnu.ac.kr |
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Contact Information: | |
Please mention the CFD Jobs Database, record #18175 when responding to this ad. | |
Name | Duckjong Kim |
dkim@gnu.ac.kr | |
Email Application | Yes |
Record Data: | |
Last Modified | 12:37:03, Wednesday, February 01, 2023 |