== Position 1 ==
Institute of High Performance Computing (IHPC), A*STAR is looking for 
candidates with the talent and passion to pursue first class research in Big 
Data Analytics. You will be expected to conduct innovative research, design and 
develop cutting edge models and algorithms for analyzing large-scale textual 
data from science and engineering domains. You will also be expected to work 
closely with the researchers from IHPC to build up the in-house capability on 
context-based analytics. The successful candidates will have the opportunities 
to collaborate with researchers and practitioners from other A*STAR institutes 
as well as industry, to translate the developed solutions for tackling real 
world text analytics problems confronted today and in near future.

Requirements:
    - PhD in Computer Science or other related subjects.
    - Strong expertise and research record on text analytics/text 
mining/natural language processing.
    - Experience in analyzing large-scale data using, e.g., Hadoop/Spark.
    - Broad knowledge in machine learning and data mining.
    - Programming experience in Python and Matlab/Octave. Experience in C++, 
Java, and R is a plus.
    - Able to work in a collaborative research environment & communicate well 
with colleagues and collaborators.


== Position 2 ==
Institute of High Performance Computing (IHPC), A*STAR is looking for a 
postdoctoral Scientist with the talent and passion to pursue first class 
research in high content analytics through a joint project with Institute of 
Molecular and Cell Biology (IMCB). You will be expected to conduct innovative 
research, design and develop cutting edge models and algorithms for processing 
and analyzing large-scale high content screening data. You will also be 
expected to work closely with researchers from IHPC as well as reputed 
biologists from IMCB to establish novel approach to genome-wide cell 
phenotyping and gene interaction identification. The job is available 
immediately.

Requirements:
- PhD in Computer Science, Applied Statistics, or other related subjects.
- Broad knowledge on machine learning/data mining/data analytics.
- Strong expertise and research record in classification/clustering/network 
analytics.
- Programming experience in Python and Matlab/Octave.
- Experience in bioinformatics and big data analytics using, e.g., Hadoop/Spark 
would be a plus.
- Capable of conducting research in a cross-disciplinary team.



== How to Apply ==
Interested candidates please send your CV to [email protected]. We regret 
that only shortlisted candidates will be notified.


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