The Research Assistant will be responsible for contributing to ongoing projects, particularly those examining global trade in proliferation-sensitive commodities and East Asian nuclear issues. They will work closely with senior research staff from two programs to conduct original open-source research: CNS’ Export Controls and Nonproliferation Program examines national and international export control efforts, industry compliance, and public-private cooperation in the field; the Center’s East Asia Nonproliferation Program explores WMD developments in the East Asian region, including the Chinese and North Korean nuclear and missile programs, and their drivers and responses.
To support these programs, the Research Assistant will be responsible for conducting independent research and analysis, ranging from literature reviews to primary open source information collection and assessment. In order to complement CNS’ existing range of foreign language expertise, the Center is in particular seeking a Research Assistant with working-level proficiency in Russian. Consequently, the job holder will also be responsible for conducting some research using Russian-language sources.
The job holder may be asked to assist with other activities in the CNS-DC office, including supporting seminars or events as required.
The job holder will have a Bachelor’s degree in political sciences, international relations, history, or a related discipline. A Master’s degree is desirable.
The job holder must be a proficient Russian speaker. Other foreign language capabilities are desirable.
Candidates should also have a demonstrated interest in international security and non-proliferation issues, either through coursework or professional work experience. They must be an original thinker, motivated to conduct innovative research, particularly using primary open sources. They should be a skilled oral and written communicator, able to organize and synthesize complex and sometimes technical content.
Candidates should have a demonstrated ability to work as part of a team to deliver outputs on deadlines. The ideal applicant will also have a proven ability to manage datasets.