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A fully-funded two Ph.D. positions are available ... (1 reply)
Sir,
I have 2 years of research experience in experimental condensed matter Physics including synthesis and characterization of thin films. I have taken undergraduate and graduate courses on Python. Also, I have hands-on experience in DFT using Quantum ESPRESSO. I would like to know more about the Ph.D. positions and the last date for application. I am attaching my CV with this for reference.
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A fully-funded 2 Ph.D. positions are available at Prof. Se-Hun Kim’s group at Jeju National University, Republic of Korea. The Ph.D. student will perform experimental/theoretical investigations of 2D material’s properties and their applications.
Requirements:
1- (For the computational Ph.D. position) Prior experience in Density-functional theory (DFT) using VASP of 2D materials calculations. Practical experience in Machine learning and good coding skills using (at least one) Python, C/C++, and Fortran, are desirable. Prior experience in many-body models is a plus.
2- (For the experimental Ph.D. position) Prior experience in 2D materials like graphene and thin film characterization using Raman, XRD, AFM, SEM, etc. Hands-on experiences on current-voltage, impedance measurement are desirable. Prior experience in LabVIEW will be beneficial.
3- Solid background in condensed matter physics.
4- Good communication skills in English.
5- Ability to work independently and in a team.
The prospective applicant is expected to be strongly motivated and has a Master’s degree in experimental/theoretical condensed matter physics or materials science. More information concerning the Ph.D. positions can be obtained from Prof. Se-Hun Kim, email: s[email protected].
Candidates should send by email as one PDF file: i) a CV, ii) a motivation letter, and iii) Names and email addresses of two references to Prof. Se-Hun Kim ([email protected]) or ([email protected]).
Review of applications will begin immediately and will continue until the positions are filled.
Thank you very much for your attention.