POSTDOCTORAL FELLOWSHIP
The Smart Cyber-Physical Systems Laboratory (Smart CPS Lab) at Korea University of Technology and Education (Koreatech) is seeking an exceptional and innovative individual with a doctoral degree in computer science, computer engineering, or related fields to work with the ongoing projects.
QUALIFICATIONS:
Ph.D. in computer science, computer engineering, or related fields
Those who have research experiences in
Task scheduling and resource allocation in multi-agent systems
Deep Reinforcement Learning for task scheduling with multiple objectives
Ontology-based semantic search for federation of heterogeneous sources
Concurrency control methods on shared object manipulation
are preferred
Those who can work full-time for Smart CPS Lab at Koreatech (www.koreatech.ac.kr)
Those who have research accomplishments as same as below
Three or more papers as a first or a corresponding author published in SCI(E) related to the aforementioned research experiences within 5 years
An ability to work independently and collaborate effectively
Those who have working experiences with Korean are preferred
Strong coding skills in Python
Good communication and writing skills in English
RESPONSIBILITIES:
Publish at least 2 academic papers per year as a first author in SCI(E)-indexed journals with Professor Won-Tae Kim of Smart CPS Lab as a corresponding author
Develop new system architectures and algorithms to support research projects
Contribute or lead to the analysis of data generated by experiments
Contribute or lead to the writing of scientific articles
Assist with the development of research proposals
FINANCIAL SUPPORT: ₩36,000,000 (about $27,900) per year
including tax, four major public insurance, and severance pay
except for personal travel expenses
FELLOWSHIP DURATION: The initial appointment is for periods over 1 year, with the possibility of an extension based upon performance and availability of funding.
WORK PLACE: Department of computer science and engineering, Korea university of technology and education
TO APPLY: Candidates should submit their CVs, publications (if any), along with a cover letter briefly describing their interests and qualifications, to Dr. Young-Jin Kim ([email protected])
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