Advanced Assistant Professor / Associate Professor in Political Science
University of Rhode Island
Posting Details Position Information Job Title Advanced Assistant Professor / Associate Professor in Political Science Job Description Summary, Duties and Responsibilities, Required Qualifications and Preferred Qualifications The search will remain open until the position has been filled. First consideration will be given to applications received by December 15, 2024, 2024. Applications received after December 15, 2024 may be reviewed depending on search progress and needs but are not guaranteed full consideration.
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The Department of Political Science at the University of Rhode Island invites applications for a faculty position at the level of Associate Professor (tenured) or Advanced Assistant Professor (tenure track) in Computational Social Science, starting in Fall 2025. We are seeking candidates with expertise in developing and applying cutting-edge computational and quantitative methods to the study of politics as well as a demonstrated ability to work across disciplines. Areas of methods focus may include, but are not limited to, machine learning, AI, deep learning, digital experimentation, natural language processing, network analysis, text analysis, big-data analytics, or system dynamics.
The successful candidate is expected to direct a new interdisciplinary Ph.D. program in Computational Social Science in the College of Arts & Sciences with a tenure home department in Political Science.
We are seeking to attract a diverse pool of job applicants for this position. A key pillar of URI’s mission is to “inspire an enlightened community that is characterized by vibrant cultural diversity; that embraces difference; that is built upon a learning environment that fosters respect, understanding, and social justice; and that rejects prejudice and intolerance.” Our department seeks candidates whose principles align with that mission.
DUTIES AND RESPONSIBILITIES:
The successful candidate will be expected to have strong skills in computational social science with a substantive research program on politics informed by innovative quantitative, data-intensive, or computationally-intensive techniques. Competitive candidates will have a scholarly track record with evidence of high-quality research in their respective field of study as well as demonstrated potential in program leadership, advising and mentoring of Ph.D. students, and curriculum development.
The successful candidate will be responsible for directing the new interdisciplinary Ph.D. program in Computational Social Science (CSS) within the College of Arts & Sciences. As the Director, the candidate will lead the development and refinement of its curriculum, foster interdisciplinary collaborations, and oversee recruitment, advising, and mentoring of Ph.D. students. This position will involve working closely with faculty across multiple social science departments to ensure the program remains at the cutting edge of computational methodologies and their applications in the social sciences.
The Computational Social Science program’s administrative home resides within the Political Science Department; this position will split their teaching and service duties across the CSS and traditional Political Science programs.
REQUIRED QUALIFICATIONS:
1) Ph.D. in Political Science, Computational Social Science, or in a closely related discipline at the time of application.
2) Primary or secondary specialization in one or more of the following areas: computational social science, big-data analytics, machine learning, AI, natural language processing, text analysis, or network analysis.
3) Demonstrated ability to excel in teaching advanced coursework on applications of innovative quantitative, data-intensive, or computationally-intensive techniques in the social sciences.
4) Demonstrated experience in advising and mentoring of students.
5) Evidence of research in the area of computational social science, with scholarly work commensurate with level of academic experience.
6) Demonstrated potential to develop and maintain an externally grant-funded research program relevant to Computational Social Science.
7) Demonstrated interpersonal communication skills.
8) Demonstrated proficiency in written communication skills.
9) Demonstrated experience working with diverse populations or in diverse environments.
PREFERRED QUALIFICATIONS:
1) Ability to teach undergraduate research methods courses and substantive political science courses.
2) Demonstrated leadership and management skills in the areas of program development, student recruitment, and coordination of faculty and resources.
3) Demonstrated experience or interest in interdisciplinary collaboration, particularly with statistics, computer science, or related fields.
4) Demonstrated interest in developing collaborative research and/or consulting to support the interdisciplinary nature of programs within the Department, College, and the University as a whole.
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ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES.
Union AAUP - American Assoc of Univ Professors Status Academic Year, Full-time, Tenure-track, Permanent End Date of Restriction or Limitation Department Information Department Political Science Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Email Campus Location Kingston Grant Funded No Extension Contingent on Funding Date Special Instructions to Applicants Please attach the following 5 (PDF) documents to your online Employment Application:
(#1) Cover letter/letter of application that describes your interest in this position and addresses the required qualifications.
(#2) A Curriculum Vitae that includes the names/contact information for three professional references, a list of all completed graduate-level courses taken, and course syllabi and teaching evaluations for select courses you have taught (note: please scan and attach all of this information as a single CV document).
(#3) Other Document – a brief research and teaching statement (as one complete document).
(#4) Diversity Statement, with examples, that summarizes your contributions to diversity and inclusion in your discipline. These contributions may arise from scholarship, teaching/mentoring, service, or other activities (as one complete document). URI is committed to diversity and seeks candidates who will contribute to a climate that supports a fully inclusive, equitable, and diverse working and learning environment.
(#5) Writing Sample – an article-length sample of relevant scholarly work.
Posting Information Position Number 109064 Posting Number F00445 Posting Date 11/04/2024 Closing Date Open Until Filled Yes Quicklink for Posting https://jobs.uri.edu/postings/14232 Applicant Documents Required Documents Cover Letter/Letter of Application Curriculum Vitae Other Document Diversity Statement - (justice, equity, diversity and inclusion) Writing Sample Optional Documents Supplemental Questions
______________________________________________________________________________________________________
The Department of Political Science at the University of Rhode Island invites applications for a faculty position at the level of Associate Professor (tenured) or Advanced Assistant Professor (tenure track) in Computational Social Science, starting in Fall 2025. We are seeking candidates with expertise in developing and applying cutting-edge computational and quantitative methods to the study of politics as well as a demonstrated ability to work across disciplines. Areas of methods focus may include, but are not limited to, machine learning, AI, deep learning, digital experimentation, natural language processing, network analysis, text analysis, big-data analytics, or system dynamics.
The successful candidate is expected to direct a new interdisciplinary Ph.D. program in Computational Social Science in the College of Arts & Sciences with a tenure home department in Political Science.
We are seeking to attract a diverse pool of job applicants for this position. A key pillar of URI’s mission is to “inspire an enlightened community that is characterized by vibrant cultural diversity; that embraces difference; that is built upon a learning environment that fosters respect, understanding, and social justice; and that rejects prejudice and intolerance.” Our department seeks candidates whose principles align with that mission.
DUTIES AND RESPONSIBILITIES:
The successful candidate will be expected to have strong skills in computational social science with a substantive research program on politics informed by innovative quantitative, data-intensive, or computationally-intensive techniques. Competitive candidates will have a scholarly track record with evidence of high-quality research in their respective field of study as well as demonstrated potential in program leadership, advising and mentoring of Ph.D. students, and curriculum development.
The successful candidate will be responsible for directing the new interdisciplinary Ph.D. program in Computational Social Science (CSS) within the College of Arts & Sciences. As the Director, the candidate will lead the development and refinement of its curriculum, foster interdisciplinary collaborations, and oversee recruitment, advising, and mentoring of Ph.D. students. This position will involve working closely with faculty across multiple social science departments to ensure the program remains at the cutting edge of computational methodologies and their applications in the social sciences.
The Computational Social Science program’s administrative home resides within the Political Science Department; this position will split their teaching and service duties across the CSS and traditional Political Science programs.
REQUIRED QUALIFICATIONS:
1) Ph.D. in Political Science, Computational Social Science, or in a closely related discipline at the time of application.
2) Primary or secondary specialization in one or more of the following areas: computational social science, big-data analytics, machine learning, AI, natural language processing, text analysis, or network analysis.
3) Demonstrated ability to excel in teaching advanced coursework on applications of innovative quantitative, data-intensive, or computationally-intensive techniques in the social sciences.
4) Demonstrated experience in advising and mentoring of students.
5) Evidence of research in the area of computational social science, with scholarly work commensurate with level of academic experience.
6) Demonstrated potential to develop and maintain an externally grant-funded research program relevant to Computational Social Science.
7) Demonstrated interpersonal communication skills.
8) Demonstrated proficiency in written communication skills.
9) Demonstrated experience working with diverse populations or in diverse environments.
PREFERRED QUALIFICATIONS:
1) Ability to teach undergraduate research methods courses and substantive political science courses.
2) Demonstrated leadership and management skills in the areas of program development, student recruitment, and coordination of faculty and resources.
3) Demonstrated experience or interest in interdisciplinary collaboration, particularly with statistics, computer science, or related fields.
4) Demonstrated interest in developing collaborative research and/or consulting to support the interdisciplinary nature of programs within the Department, College, and the University as a whole.
______________________________________________________________________________________________________
ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES.
Union AAUP - American Assoc of Univ Professors Status Academic Year, Full-time, Tenure-track, Permanent End Date of Restriction or Limitation Department Information Department Political Science Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Email Campus Location Kingston Grant Funded No Extension Contingent on Funding Date Special Instructions to Applicants Please attach the following 5 (PDF) documents to your online Employment Application:
(#1) Cover letter/letter of application that describes your interest in this position and addresses the required qualifications.
(#2) A Curriculum Vitae that includes the names/contact information for three professional references, a list of all completed graduate-level courses taken, and course syllabi and teaching evaluations for select courses you have taught (note: please scan and attach all of this information as a single CV document).
(#3) Other Document – a brief research and teaching statement (as one complete document).
(#4) Diversity Statement, with examples, that summarizes your contributions to diversity and inclusion in your discipline. These contributions may arise from scholarship, teaching/mentoring, service, or other activities (as one complete document). URI is committed to diversity and seeks candidates who will contribute to a climate that supports a fully inclusive, equitable, and diverse working and learning environment.
(#5) Writing Sample – an article-length sample of relevant scholarly work.
Posting Information Position Number 109064 Posting Number F00445 Posting Date 11/04/2024 Closing Date Open Until Filled Yes Quicklink for Posting https://jobs.uri.edu/postings/14232 Applicant Documents Required Documents Cover Letter/Letter of Application Curriculum Vitae Other Document Diversity Statement - (justice, equity, diversity and inclusion) Writing Sample Optional Documents Supplemental Questions
Required fields are indicated with an asterisk (*).
* Do you have a Ph.D. in Political Science, Computational Social Science, or in a closely related discipline at time of application? Yes No * Do you have primary or secondary specialization in one or more of the following areas: computational social science, big-data analytics, machine learning, AI, natural language processing, text analysis, or network analysis? Yes No * Do you have demonstrated ability to excel in teaching advanced coursework on applications of innovative quantitative, data-intensive, or computationally-intensive techniques in the social sciences? Yes No * Do you have demonstrated experience in advising and mentoring of students? Yes No * Do you have evidence of research in the area of computational social science, with scholarly work commensurate with level of academic experience? Yes No * Do you have demonstrated potential to develop and maintain an externally grant-funded research program relevant to Computational Social Science? Yes No * Do you have demonstrated interpersonal communication skills? Yes No * Do you have demonstrated proficiency in written communication skills? Yes No * Do you have demonstrated experience working with diverse populations or in diverse environments? Yes No How did you hear about this employment opportunity? Public Job Posting Internal Job Posting Agency Referral Advertisement/Publication Personal Referral Website Other
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