30.2841, Jobs: Psycholinguistics: Post Doc, University of Maryland

[The LINGUIST List]

LINGUIST List: Vol-30-2841. Mon Jul 22 2019. ISSN: 1069 - 4875.

Subject: 30.2841, Jobs: Psycholinguistics: Post Doc, University of Maryland

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Date: Mon, 22 Jul 2019 12:50:10
From: Jackie ARLIS [jmadoo at arlis.umd.edu]
Subject: Psycholinguistics: Post Doc, University of Maryland, USA

 
University or Organization: University of Maryland 
Department: Applied Research Laboratory for Intelligence and Security (ARLIS)
Job Location: Maryland, USA 
Web Address: https://www.casl.umd.edu/
Job Title: Full-time Post Doc Research Associate in Psychology, Security, & Intelligence
Job Rank: Post Doc

Specialty Areas: Psycholinguistics 


Description:

Full-time Postdoctoral Research Associate in Psychology, Security, and
Intelligence. 

Subject to funding, the University of Maryland Applied Research Laboratory for
Intelligence and Security (ARLIS) seeks to hire a postdoctoral research
associate to work on projects regarding the intersection between psychology
and security/intelligence. For instance, the postdoc may work on the detection
and mitigation of insider threat; social influence; computational methods of
detecting personality; and other relevant types of computational social
science. An insider threat is a person from within the organization who
represents a danger to an organization due to malicious or negligence. 

Duties:
- Work with a multidisciplinary teams of research scientists (e.g.,
psychologists, data scientists, linguists) to design and carry out research 
- Review and synthesize existing literature
For insider threat research:
- Identify gaps between current methods for detecting and mitigating threat
(or ensuring a trusted workforce) and potential innovative methods for better
detection and mitigation
- Prepare applications and maintain records for the Institutional Review Board
(IRB)
- Direct and conduct data collection in a variety of settings and using a
variety of methods
- Train faculty research assistants and undergraduate assistants
- Analyze data qualitatively and quantitatively, such as applying established
and new analysis methods to novel data sets
- Develop new analysis methods and design methods, such as for deploying
detection measures for possible insider threat in the field
Prepare presentations, reports, and scholarly publications related to research
- This is a full-time position with benefits. The initial term is for 9 months
and is renewable subject to the availability of funding. The applicant must
have an interest in building expertise in and conducting research in the field
of insider threat detection and management, with the possibility of also
conducting research in computational social science.

Required Skills and Experience:
- Ph.D. awarded before start of work in psychology (preferred, and
specifically in relevant aspects of cognitive, social, and/or personality),
criminal justice, risk management, or a related field with fundamental
knowledge of social influence, human cognition (memory, learning, etc.),
teamwork and group dynamics, individual differences, and related topics
- Knowledge of human subjects ethics; writing and getting approved
Institutional Review Board (IRB) research protocols
- Writing and synthesizing information and academic articles for literature
reviews
- Collecting human subjects data using multiple different methods (i.e.,
interviews, surveys, experiments, observation, and annotation/coding)
- Statistical analysis techniques on human subjects data (e.g., in R, SPSS,
SAS) at a Ph.D. psychology level
- Directing and training junior researchers (e.g., undergraduate research
assistants)
- Excellent communication skills, both oral/presentations and written
- Experience working in a team as well as independently, to strict deadlines
in established parameters

Preferred:
- Additional advanced statistical analysis techniques (e.g., nonparametric
statistics; multilevel modeling; structural equation modeling)
- Computational / data science techniques such as familiarity with machine
learning packages
- Experience analyzing social media and other electronic interaction data
- U.S. Citizen strongly preferred

To apply, please send a CV and cover letter to the application email provided
below. 

Review of applications will begin immediately and continue on a rolling basis.
The preferred start date is as soon as possible.



Application Deadline:  (Open until filled)
	  
Email Address for Applications: jmadoo at arlis.umd.edu 
Contact Information:
	HR Coordinator Jackie Madoo 
	Email: jmadoo at arlis.umd.edu 


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