Three Research Positions
on Industrial IoT for Data Centers
Posted on April 21st 2022; updated on June 8th 2020.
three two positions are immediately available at the NTU IoT Sensing Group:
The successful candidates will conduct research in the area of industrial IoT for data centers. They will have access to a data center testbed hosting more than 600 servers. The candidates should be specialized in computer science, computer engineering, or relevant disciplines. The candidates applying the Senior Research Fellow or Research Fellow position should have strong research record in the areas related to IoT and cyber-physical systems.
The candidates applying the Research Engineer position are expected to have hands-on experiences with computer systems.
Interested candidates may refer to our publications to understand the research we conduct:
 Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control
 Real-Time Cooling Power Attribution for Co-Located Data Center Rooms with Distinct Temperatures and Humidities
 Air Free-Cooled Tropical Data Center: Design, Evaluation, and Learned Lessons
 Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control
Interested candidates can send CV with full publication list or project experience descriptions to firstname.lastname@example.org. To receive full considerations, please send CV by June 30th 2022.
NTU IoT Sensing Group (ntuiot.xyz) is a research team based in the School of Computer Science and Engineering (SCSE), NTU. We focus on the research, design, and evaluation of networked, energy-efficient, and secure sensing systems found in the Internet of Things (IoT) and its AI-empowered generation (AIoT). Our research has two main sub-directions of IoT sensing systems/applications and security/privacy of AIoT sensing. In the first sub-direction, with a strong experimental focus, we study a number of sensing modalities (e.g., powerline radiation, radio frequency, acoustics, image, thermal, and energy), exploit them to construct system functions and applications. In the second sub-direction, we study the security and privacy of AIoT sensing systems that use machine learning to process the sensed data. Due to the immediate application potential, our research has been funded externally by government authorities and companies in the ICT, energy, and manufacturing sectors. Our research works have won multiple best paper awards and runner-up recognitions on various prestigious conferences. We invite candidates with great passion for systems research to join us!
About NTU and SCSE: NTU is a fast-rising young university. It is No. 1 among universities under 50 years (2021). The computer science of NTU is ranked 4th and 8th in the world according to The US News and The Academic Ranking of World Universities (Shanghai Ranking) in 2021.