The *Arab center for researcg and policy studies, Doha Qatar, * is looking
for a *programmer **specialized in **data sciences* to join an applied
research unit.
To apply or query about the position send an email with your CV and
questions to: recruitment(a)dohainstitute.org
The unit concerns* natural language processing *with applications to text
in Arabic and its dialects and aims to serve applications in humanities,
social, political, and economic studies.
The unit develops technologies that serve digital Arabic knowledge. It aims
to advance the state of the art, and further modern digital Arabic
knowledge. The unit presents its results and outputs to help researchers
and policy makers in the Arabic society understand and interact with the
Arabic society across all its classes and sectors.
In their role, the programmer will contribute fundamentally to the
development of the capacities and resources that will empower such
applications.
Within their role, the programmer will develop techniques for analysis,
inspection, and extraction of information from Arabic text originating from
a variety of sources including social media.
*Required skills and expertise:*
1. Developer with three years or more of programming experience in one
or more programming languages (C++, Java, Python, Rust, R, …)
2. Three years or more of work in natural language processing (NLP)
using modern technologies, packages and library APIs to interact with
natural languages.
3. Solid knowledge in efficient algorithms to handle large data sets
4. Familiarity (at least) of use of elastic computing servers that
provides computing services for data sciences and NLP such as Google
Colabs, Amazon AWS, and Azure.
5. Experience in building websites and mobile applications to present
the results of technologies developed at the unit. This includes frontend,
backend, and database (sql/no-sql) expertise.
6. Good linguistic skills in Arabic that cover intermediary levels of
morphology صرف, etymology اشتقاق, and dictation املاء
7. Basic knowledge and experience in statistical and machine learning
and data sciences
8. Experience in data visualization for insights, graphs and information
extracted from large data sets
9. Master’s degree in a computer science or engineering field or a
bachelor’s degree with two years of experience. Focus or concentration on
statistical inference or machine learning is a plus.