Undergraduate Interns 학부 인턴 for 2024
2024 FALL
Work with one of Master's students or with other undergraduates.
Obligation: progress check meeting with the PI every week.
How to apply: Please walk-in or direct email to the PI.
No prerequisite required.
Project 1
Investigate boiling-condensation flow instabilities for i-SMR
혁신형 소형모듈원전 피동냉각계통 증발기인 유동 불안정성 연구
Analysis: Literature review about flow instabilities, Develop & utilize 1D code,
Bubble interaction mechanistic modeling
Project 2 [Korean Only]
Core thermal-hydraulics analysis for Gas-cooled Reactor
민관합작 고온가스로 노심열유체 해석 연구
Computation: Multiphysics computation using ANSYS FLUET/MECHANICS, SOLIDWORKS.
Project 3
Develop futuristic nuclear battery
차세대 핵전지 개발 연구
Design: Develop and analyze futuristic nuclear battery conceptual design.
* LBE-cooled subcritical fission battery
* Beta-decay battery
Graduate(M.S./Ph.D.) students
We are seeking highly motivated graduate(M.S./Ph.D.) students with experiences in programming languages (e.g., MATLAB, Python, Fortran, C++, etc.), and/or with commercial computational tools/system codes (e.g., ANSYS, STAR-CCM+, OpenFOAM, MCNP, ABAQUS, SERPENT, RELAP, SPACE, etc.).
Selected candidates will play a pivotal role in developing & running an experimental system for advanced nuclear reactor research and contribute to developing cutting-edge ideas in the field.
Responsibilities
Computational Tools: Apply expertise in using commercial computational tools (e.g., ANSYS, MCNP, ABAQUS, SOLIDWORKS) for numerical multiphysics simulations and analysis.
Experimental Setup: Collaborate with the research team to design, set up, and maintain an experimental flow loop for nuclear reactor studies.
Programming Skills: Utilize programming languages such as MATLAB, Python, C++, or other relevant languages for data analysis, algorithms development, and control system development.
Research Ideation: Contribute to the generation of innovative research ideas for futuristic nuclear reactor concepts. Stay updated on the latest developments in nuclear engineering.
Qualifications
Enrolled in an undergraduate or graduate program in a relevant engineering or science field.
Experience with commercial computational tools/system codes such as ANSYS, STAR-CCM+, OpenFOAM, MCNP, ABAQUS, SOLIDWORKS, SERPENT, RELAP, etc.
Programming skills in MATLAB, Python, Fortran, C++, or similar languages. Experience with Artificial Intelligence will be highly valued.
Experience with measurement systems such as TC, PT, flow meter, high-speed/infrared cameras.
Experience with control systems such as LabView, data acquisition, power supply, induction heater.
Interest in nuclear-related technologies and a desire to contribute to innovative research.
Familiarity with thermal-fluid systems or nuclear reactor concepts.
Effective communication skills (English & Presentation) and excellent analytical abilities.
How to Apply
[KAISTian] Please walk-in or direct email to the PI specifying your interest & preferred research topics.
[Outside students] Please send a CV (or resume) and a brief statement outlining research interests and experiences to the PI. Please include the name(s) of your reference(s), if applicable.
We encourage applications from candidates of all backgrounds and experiences.
Don't hesitate! We look forward to welcoming dynamic individuals bringing a fresh perspective to our team.
*PI response time is ~1 week. If you haven't received a response within one week, it is possible that your qualifications do not meet the requirements. However, please feel free to send a reminder at any time.
34141 대전광역시 유성구 대학로 291 (구성동 한국과학기술원 373-1) 기계공학동 www.kaist.ac.kr