Post-Doctoral Associate

 
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WorkplaceCollege Park, Maryland, USA
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Position



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Post-Doctoral Associate

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Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

The Social Data Science Center (SoDa) at the University of Maryland is seeking a Postdoctoral Researcher with a background in survey statistics, statistical disclosure control, and data privacy. The successful applicant will work in a project on differential privacy for surveys funded by the U.S. Census Bureau and conducted in close collaboration with researchers from Georgetown University, Boston University, and Harvard University. Salary and benefits are highly competitive. The position will be located at the University of Maryland College Park. The contract duration will be 12 months.
The primary activity of the candidate will be to collaborate with researchers from the University of Maryland and the other universities involved to study the possibilities and limitations of differential privacy in the survey context. The successful applicant will: 1) evaluate the impacts of commonly applied pre-processing steps such as weighting, editing, and imputation on differential privacy; 2) investigate how complex sampling designs affect the privacy guarantees, 3) develop methods to take the data protection measures into account when analyzing the survey data; and 4) work on potential adjustments for the data production process to meet the requirements of differential privacy. The scholar will be directly involved in international presentations and preparation of manuscripts for publication in academic journals.

An earned doctoral degree in statistics or a related field is required.

Criteria for selection include a demonstrated research ability in survey statistics and data confidentiality, strong computational skills and a good knowledge of the R programming language, commitment to collaborative research, and excellent verbal and written communication skills. Candidates should have experience and expertise in working effectively with individuals from diverse backgrounds. A background in computer science and knowledge of Python is a plus.

Applications should include a personal statement of background and experience relevant to the position; a signed, dated Curriculum Vitae; and names and addresses (including e-mail) of 3-5 references.

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.



Applicant Documents


Required Documents
  1. Cover Letter
  2. Curriculum Vitae
  3. List of References (no emails sent from system)
Optional Documents
  1. Research (examples: research statement, research programs)
  2. Teaching (examples: teaching philosophy, student evaluations)
  3. Unofficial Transcript

Posting Specific Questions


Required fields are indicated with an asterisk (*).

  1. * How did you hear about this position?
    • UMD Job Site
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    • Baltimore Sun
    • Local Publication
    • Chronicle of Higher Education
    • Inside Higher Education
    • INDEED
    • HERC
    • Hispanic Outlook
    • Diverse Jobs
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    • Professional Journal
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    • Other
    • SimplyHired
    • CareerBliss
    • Job Fairs
    • Monster.Com
    • Craigs List
    • UMD Job Fair



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In your application, please refer to myScience.org and reference JobID 1926249.