Associate Professor

Rutgers University; Newark (NJ); On-site; USD 70,000 - 110,000; Full time

Job summary

An established institution is seeking a passionate Associate Professor in Social Work, focusing on the integration of data science and technology. This full-time role involves teaching, leading innovative research, and engaging with diverse communities. The successful candidate will contribute to a vibrant academic environment, fostering student development and securing external funding for impactful projects. Join a dynamic team dedicated to addressing complex social challenges through data-driven solutions, and be part of a collaborative effort to enhance the field of social work.

Benefits

Comprehensive benefit program

Research funding opportunities

Professional development support

Community engagement initiatives

Qualifications

• Earned doctorate in social work or closely related field.
• Experience in securing and managing research grants.

Responsibilities

• Develop and deliver courses integrating data science and social work.
• Lead research focused on data science applications in social work.

Skills

Teaching

Research

Data Science

Social Work

Grant Writing

Curriculum Development

Interpersonal Skills

Community Engagement

Education

Ph.D. in Social Work

MSW from CSWE accredited program

Job description

Rutgers offers a comprehensive benefit program to eligible employees. For details, please go tohttp://uhr.rutgers.edu/benefits/benefits-overview.

Posting Summary

Rutgers University- Newark is seeking applications for a full-time, tenure-track position as an Associate Professor in Social Work, Data and Technology to begin September 1, 2025. This unique role involves teaching, research, and service activities at the intersection of social work and data science. The individual who fills this role will have their primary faculty appointment and tenure home in the Department of Social Work and hold a core faculty affiliation with the Institute for Data Research and Innovation Science ( IDRIS ).

Candidates should have a record of scholarly publication and/or external funding, experience working with diverse student populations, and social work teaching experience. New faculty members will be expected to maintain an active body of academic research demonstrated through teaching, service and research that incorporates external funding and professional presentations, university service and community engaged scholarship. The successful candidate will have their primary assignment to the Baccalaureate Social Work program. Essential requirements for the appointment include an earned doctorate in social work, an MSW from a CSWE accredited program, and two years post- MSW social work practice experience.

Responsibilities:

Teaching:

• Develop and deliver undergraduate and graduate courses that integrate data science principles with social work topics.
• Mentor and supervise students in their academic development, research projects, and theses.
• Create and foster innovative learning environments that engage students from diverse backgrounds.

Research:

• Lead a cutting-edge research agenda focused on the application of data, data science methods, and technology (e.g., AI, gaming, virtual reality) to address challenges in social work.
• Secure external funding through grants and partnerships with educational institutions, government agencies, and industry.
• Publish research findings in top-tier, peer-reviewed journals and present at leading conferences.

Service:

• Participate in departmental, institute (i.e., IDRIS ), college, and university meetings, committees and initiatives.
• Engage in data and technology-engaged and data and technology-informed community outreach and collaborations with local organizations, policymakers and other stakeholders.
• Foster partnerships with social work and technology stakeholders to promote research and community initiatives.

Applications will be reviewed on a rolling basis until the position is filled. Early submissions are encouraged.

Position Status

Position Status Full Time

Posting Number

Posting Number 25FA0469

Posting Open Date

Posting Open Date 04/29/2025

Posting Close Date

Qualifications

Minimum Education and Experience

Qualifications:

Required:

• Ph.D. in Social Work or a closely related field.
• Core data and technology-engaged and data and technology-informed research and practice agenda.
• Demonstrated excellence in teaching at the university level.
• Proven track record of research and publications in top-tier journals.
• Experience in securing and managing research grants.
• Strong communication and interpersonal skills.
• Experience with curriculum development and innovative teaching methodologies.
• Background in interdisciplinary research and collaboration.
• Professional experience in social work settings, data science, gaming or related domains.
• Active participation in professional organizations and conferences.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

Physical Demands and Work Environment

Overview

About Rutgers University - Newark:

Rutgers University - Newark is a leading institution dedicated to academic excellence and innovation. Our Social Work Department fosters an inclusive and collaborative environment where faculty and students work together to address complex challenges and create impactful solutions.

Rutgers-Newark is ranked in the top 15 small research universities in America. It is minutes from New York City and situated within a close network of excellent research institutions. This recruitment is part of the Institute for Data, Research and Innovation Science ( IDRIS ), which will serve as an organizing hub for applied, ethical and responsible scholarship and practice in data science and technology at Rutgers University-Newark. IDRIS's mission is to use data and technology to interrogate and address problems facing urban communities. In its effort to achieve this aim, the institute will situate data-focused scholarship, artificial intelligence (AI), and other technologies in an ethical and responsible framework.

Statement

Special Instructions to Applicants

Applicants should submit a cover letter, curriculum vitae, statement of research interests, statement of teaching philosophy, sample publications and the names and contact information for three references.

Quick Link to Posting

Campus

Home Location Campus

City

City Newark

State

State NJ

Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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