Name of scholarship/program
Postdoctoral Research Fellow Positions in machine learning and data mining at KAUST
Eligibility and other criteria
Two Postdoctoral Research Fellow positions are available in Machine Intelligence and Knowledge Engineering (MINE) Laboratory directed by Dr. Xiangliang Zhang in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) at King Abdullah University of Science and Technology (KAUST) located on Red Sea shore. Candidates with experience in one or more of the following research areas are invited to apply: machine learning, data mining, databases, information retrieval and recommender systems. More information about MINE Lab can be found at http://mine.kaust.edu.sa
Candidates need to hold an earned Ph.D. (or be near completion) in computer science or in a related field with good programming skills in C/C++/Java/Matlab. Successful candidates are expected to be self-motivated and have a good publication record (at least have one paper accepted by premier conferences or journals like KDD, NIPS, ICML, IJCAI, AAAI, SIGMOD, VLDB, ICDE, TKDE, TKDD, etc.) and good command of English. The position holders will perform interdisciplinary research, shape research directions, produce and disseminate results through publications, coordinate research projects and help to supervise Ph.D. and M.S students.
The PostDoc positions are for 1 to 3 years.
-Very competitive tax exemption salary and benefit package (e.g., free high-standards fully furnished houses, health insurance, education at KAUST international schools for children, 20 days of paid vacation per year, relocation allowance, repatriation allowance).
- Sufficient funding support (e.g., conference attendance and international trip support).
- State-of-the-art research facilities, including one of the fastest supercomputers in the world (IBM BlueGene, 64000 cores, 64TB RAM), and a word-class visualization center.
- Solid collaboration (including exchange visits) with our partners such as IBM T.J. Watson Research Center, Texas A&M University, INRIA, Microsoft Research Asia and others.
-Vibrant campus life and impressive recreational facilities that include a private beach, marina and golf course.
Eligible and interested applicants are invited to submit their application electronically to Dr. Xiangliang Zhang (firstname.lastname@example.org) with a detailed professional Curriculum Vita (including educational background, professional experience, and a list of publications). Successful candidates will be further contacted to provide more documents (e.g., two or three recommendation letters and a brief statement of research interests/plans).
Applications will be handled in strict confidentiality. KAUST is an equal opportunity employer.
See required qualifications above
Review of applications will begin immediately and the positions will remain open until filled.
Additional information, and important URL
http://www.hpc.kaust.edu.sa/ http://www.kaust.edu.sa http://mine.kaust.edu.sa
About KAUST Contact Adress:
Contact Email: email@example.com
King Abdullah University of Science and Technology (KAUST) is a brand new, international, graduate-level research university supported by a multi-billion dollar endowment. With sufficient research funding, highly competitive and merit-based compensation scheme, state-of-art core facilities, supercomputing machines (for KAUST's Shaheen Supercomputer see http://www.hpc.kaust.edu.sa/
) and university leadership's vision and commitment to make KAUST one of the world's greatest academic institutions, KAUST has attracted a large group of internationally recognized talents. Joint (PhD) Degree Program will shortly be released between KAUST and Technische Universität München (TUM), and TA&M, and Graduate University of Chinese Academy of Sciences. Furthermore, through a Global Research Partnership, KAUST has built up deep and meaningful partnerships with the world's most premier institutions (e.g., Stanford University, University of Illinois at Urbana Champaign (UIUC), The University of Oxford, UC Berkeley, Cornell University, University of Texas at Austin, Texas A&M University) and big companies (e.g., IBM, Boeing, Dow Chemical Company), which provide KAUST researchers ample opportunities to work with the world's most leading scientists and to commercialize their research projects. The aforementioned unrivaled resources available to KAUST researchers offer unprecedented opportunities for scientists from around the globe and across all cultures to build up their career at KAUST. Further information about KAUST can be found at: http://www.kaust.edu.sa
© 2021 LeadLearners.Org ™
Designed by: Emmanuel Salawu at Bioinformatics Center