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Title POSTDOCTORAL FELLOWSHIPS IN COMPUTATIONAL SOCIAL SCIENCE, IBS
Person in charge Data Science Group E-mail Address dscig@ibs.re.kr Tel No.
Department Data Science Group Registration Date 2019-03-28 Closing Date 2019-05-31
Status Closed
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POSTDOCTORAL FELLOWSHIPS
IN COMPUTATIONAL SOCIAL SCIENCE, IBS

The IBS Data Science Group in Daejeon, South Korea invites applications for several postdoctoral research fellowship positions. The expected start date is the 1st of September 2019 but it can be negotiated; but the candidate should have a Ph.D. by the start date.

Data Science Group is a new research group that was established in December 1, 2018 at the Institute for Basic Science (IBS), led by Prof. Meeyoung Cha. Data Science Group is located at the headquarters of the Institute for Basic Science (IBS) in Daejeon, South Korea, a city of 1.5 million people.

We seeks a talented, highly motivated researcher with a background in data science. Successful candidates for postdoctoral research fellowship positions will be new or recent Ph.D.’s with outstanding research potential in all fields of computational social science, which is the study of social phenomena using the intersection of computer science, statistics, and social science . Also, we will strive to advance the data science research field via developing new ways of computing using machine learning and deep learning methods to analyze real-world data about society. Projects leverage a large-scale dataset, applying methods and theory from sociology, behavioral science, network science, econometrics, data science, and machine learning.

Preferences

  • 1. Excellent knowledge and skills in social network analysis, machine learning, statistical analysis, and computational simulation.
  • 2. Analyze large-scale datasets using tools from deep learning and machine learning.
  • 3. Proficiency in computer programming using major programming languages (e.g., high-level languages commonly used in the scientific community such as Python, R and Scala, related machine learning and deep learning tools such as PyTorch, TensorFlow and scikit-learn)
  • 4. Strong knowledge in social and behavioral disciplines.
  • 5. Effective communication, collaboration, and organizational skills.

research fellows will have no teaching duties.

Position Minimum Qualifications:
The successful candidate must have a Ph.D. (or receive it soon) from an accredited university in a relevant discipline, such as computer science, statistics, information systems, computational social sciences, computational simulation, or a closely related discipline. Ph.D. must be completed by the start of the appointment.

The position and Remuneration:
These non-tenure-track appointments are for 2 or 3 years, and the starting salary is no less than KRW 57,000,000. The appointment is one time renewable up to 5 years in total contingent upon the outstanding performance of the researcher. Low cost economy flight will be provided for accepted applicants.

Application Process and Requirement:
For those who are eligible and interested, please submit your application package that includes:

  • 1. Curriculum vitae (CV) including a publication list (PDF format)
  • 2. Research statement (up to 2 pages, PDF format)
  • 3. At least 1 recommendation letters


We are required to obtain the user's consent to collect and use personal information as a rule. we will give it to you later.

Applications should be received by May 31, 2019 at 11:59 pm EST (deadline has been extended). Recommendations letters forwarded by an applicant will not be considered. Data Science Group encourages applications from individuals of diverse backgrounds.
Applications can be submitted via email: dscig@ibs.re.kr.

For information about the Institute, please use the following website link:
https://www.ibs.re.kr/datascience/

For Korean citizens who have not yet completed their military duty: IBS는 병역특례지정기관입니다. IBS is a designated institute for alternative military service.

Research

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Content Manager
Human Resources Development Team : Minwon Seo   042-878-8240
Last Update 2023-11-28 14:20