Assistant Professor in High Performance Computing

Location: Bandar Seri Begawan - Brunei
Salary: Not specified
Hours: Full Time
Contract Type: Permanent
Placed on: 16th January 2023
Closes:

The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a highly qualified person in high performance and cluster computing to join our team, who will be able to:  

• generate research ideas, develop solutions to complex HPC problems, and write/acquire local and international research grants 
• execute research projects in close collaboration with academics and professionals within and outside UBD to make a global impact through excellence in research and innovation and active participation in the activities of the Institute
• publish research advances in top-tier conferences and journals, and demonstrate leadership in the greater professional community 
• develop and teach modules such as High-performance computing, computer networks, cloud, distributed and/or parallel computing in programmes offered by the Institute and modules offered by other Faculties, Institutes, and Centres (FICs) in Universiti Brunei Darussalam;  
• supervise or co-supervise final year and postgraduate students from the institute as well as from different faculties in projects related to HPC and computer science 
• provide administrative support to the institute (if required)  

Academic and Professional Qualifications required: 

• Ph.D. in Computer Engineering, Computer Science, or a related discipline (with a specialisation in High-performance computing/Distributed computing) from a recognised university. 
• An outstanding record of research productivity and teaching excellence in the field of specialisation; 
• Experience with Linux administration, batch HPC cluster environment, high-speed local area networking system, databases, parallel file systems and storage, and archival storage and tape libraries; 
• Knowledge in the deployment of new technologies such as GPUs, Hadoop, and cloud computing; deployment and optimisation of resource management and scheduling software and policies  

For more information about the Institute of Applied Data Analytics, please refer to: http://iada.ubd.edu.bn/ or contact please contact Prof. Dr. Chandratilak De Silva LIYANAGE at Liyanage.silva@ubd.edu.bn or Dr. Owais Ahmed Malik at owais.malik@ubd.edu.bn.