1. Software Developer 
2. Senior Research Fellow (The Center for Conflict and Humanitarian Studies - CHS)
3. Programmer Specialized In Data Sciences - Data Scientist (ACRPS)

All candidates should send their applications, with relevant documents, to: recruitment@dohainstitute.org

Tasks and Duties

CANDIDATE REQUIREMENTS

ESSENTIAL: A PhD in a field related to humanitarian studies, peace and conflict studies, development studies, political science and international relations, or a closely related field within the inter-disciplinary social sciences that addresses issues of conflict and humanitarian response. A demonstrated publication record in internationally excellent journals and/or book publishers.

• Advanced knowledge in at least one major thematic area of CHS interest: humanitarian action, conflict mediation, peacebuilding, and evaluation in conflict zones and/or disasters.
• Knowledge of the workings of international aid and development organisations, including governmental/bilateral (DFID, USAID), non-governmental and inter-governmental (UN, EU) bodies
• Knowledge of a range of research techniques and methodologies, including development methods such as monitoring and evaluation and/or needs assessments

• Fluency in oral and written English and Arabic.
• Excellent analytical, writing and editing skills
• Quantitative skills with statistical packages such as STATA or SPSS and experience in using qualitative data analysis tools such as NVIVO would be highly desirable
• Highly developed communication skills to engage effectively with a wide-ranging audience, both orally and in writing, using a range of media.
• Good management, organisation, advocacy, and communications skills as demonstrated by previous experience.
• Ability to contribute substantively at all stages of the research funding cycle including identifying sources of funding, contributing to the process of securing funds, and developing proposals
• Ability to manage administrative and reporting requirements (including financial reports) of funded research according to the particular specifications of research funding bodies.

• Excellent time management
• Ability to work in a team
• Motivated and personally engaged in conflict and humanitarian studies
• Culturally adaptable, as evidenced by time spent in diverse cultural environments, particularly in developing countries
• Attention to detail and commitment to high quality
• Ability to plan and prioritise own work in order to meet deadlines

The unit concerns natural language processing with application to Arabic and its dialects to serve applications in social, political, and economic studies.

In their role, the programmer will contribute fundamentally to the development of the capacities and resources that will empower such applications.

All candidates should send their applications, with relevant documents, to: 

1. Three years or more of programming experience in one or more programming language (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.