Applications are invited for a three year Postdoctoral Research Scientist position to work on a project titled "BioCloud – Algorithms, Tools and Infrastructure for High Performance Bioinformatics on the Cloud." The project is a collaboration between Qatar University (QU), Ohio State University and Nile University, and is funded by the Qatar National Research Fund (QNRF).Applicants should have the following qualifications: – Ph.D. (or equivalent) degree in Computer Science or a closely related field. – Strong background in one or more of the following areas: Bioinformatics, high-performance computing, cloud computing and scientific data management. – Good record demonstrating ability to conduct quality research. – Strong English communication skills.
Applications are going to be reviewed immediately and the review process will continue till the potion is filled.
Employment benefits include:
- Competitive tax-free salary
- Furnished accommodation in accordance with QU HR policies
- Annual round trip air tickets for the candidate and his/her dependents
- Educational allowance for candidate’s children in accordance with QU HR policies
- Health insurance to candidate and family members
- Annual leave in accordance with QU HR policies;
To apply, candidates should email the following information to Prof. Qutaibah Malluhi (qmalluhi@qu.edu.qa):
- Curriculum Vitae, including lists of publications and summary of educational & work experience – Short research statements (maximum 1 page)
- Names and email addresses of at least 3 references
About the Project
BioCloud – Algorithms, Tools and Infrastructure for High Performance Bioinformatics on the Cloud.
In recent years, two revolutionary paradigms have emerged: one in life science and one in computer science. In life science, the newly available Next Generation Sequencing (NGS) technology is providing low-cost high throughput methods for determining the nucleotide sequence of whole genomes. In computer science, the cloud computing paradigm is providing means by which computational resources needed for compute intensive jobs can be acquired on-demand on pay- per-use basis. However, current cloud systems cannot effectively support neither management of large datasets nor parallel applications that require high-bandwidth/low-latency networks or emerging accelerator architectures. In this project, we tackle this problem by designing and developing necessary cloud infrastructure, as well as efficient high performance parallelized algorithms for analysis of emerging NGS datasets to develop a complete solution for on-demand genome sequence analytics.
About Qatar University
Qatar is a rapidly growing country that has research and education as a top-national agenda. Qatar University is the largest higher-education institution in Qatar and is one of the leading institutions in the Middle East. Through a wealth of large government and industry funding programs, Qatar University’s research environment and capabilities has been mounting at an exceptional pace. Qatar University is surrounded by branches of top-ranking universities and research and development facilities including Carnegie Mellon, Weil Cornell, Te (more...)
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