Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 37 days ago

Associate/Full Professor in Social Work, AI & Data Science Cluster

Lubar Executive MBA Program32 open roles

Pay
$110,000 – $160,000 a year
Where
University of Wisconsin Milwaukee
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAssociate/Full Professor in Social Work, AI & Data Science ClusterLubar Executive MBA Program · University of Wisconsin Milwaukee

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lubar Executive MBA Program's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Lubar Executive MBA Program postings stay open a median of 31 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 37 days ago

Lubar Executive MBA Program median: 31 days open

The posting

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Position Title:

Associate/Full Professor in Social Work, AI & Data Science Cluster

Job Category:

Faculty

Employment Type:

Regular

Job Profile:

Associate Professor

Job Duties:

The Social Work Department at the University of Wisconsin-Milwaukee (UWM) invites applicants to apply to an associate or full professor, tenure-line faculty position as part of an Artificial Intelligence and Data Science Cluster Hire Initiative. UWM Academic Affairs, with generous support from the Northwestern Mutual Data Science Institute (NMDSI), is making a strategic investment in this position, providing competitive salary supplements and start-up resources.

The new faculty will have a record of securing external funding along with experience in academic settings that is commensurate with a rank of Advanced Assistant Professor (with ability to join UWM as tenured associate) or higher. Applicants are expected to have expertise both in a critical social work-related area of research (e.g., applied gerontology, health disparities, poverty policy, child welfare, community practice, criminal justice, etc.) and in AI and Data Science. The incoming faculty will collaborate with NMDSI to drive innovative research, strengthen community engagement, and develop AI and Data Science talent to support Milwaukee’s growth as a technology and innovation hub. Candidates with relevant expertise will also have the opportunity to affiliate as Fellows with UWM’s Connected Systems, which houses the Microsoft AI Co-Innovation Lab

Faculty in this cluster hire will be housed in UWM’s College of Community Engagement & Professions: Helen Bader School of Social Welfare and the School of Information Studies.

The faculty hired for this cluster in the Department of Social Work will:

  • Produce scholarship in an important area of social work research.
  • Advance interdisciplinary AI and Data Science research at UWM.
  • Collaborate with NMDSI to address real-world challenges.
  • Innovate and expand AI and Data Science educational programs.

Key Job Responsibilities:

Department:

The Helen Bader School of Social Welfare is comprised of the Department of Social Work and the Department of Criminal Justice & Criminology. The Department of Criminal Justice & Criminology offers a BS and an MS, as well as jointly offering a PhD in Social Welfare with the Department of Social Work. The Department is known for its commitment to collaborative partnerships with community and governmental organizations in southeast Wisconsin and beyond through research and student engagement.

Why Join UWM?

UWM is recognized by the Carnegie Foundation as both a Research 1 and Community Engaged university. Our mission as an urban research university aligns with this dual designation and is key to our shared, aspirational purposes reflected in our 2030 Strategic Plan to advance student success, the employee experience, research impact and innovation, as well as fiscal sustainability and economic growth. As one of the few Carnegie R1 Research Universities with a Community Engagement designation, UWM offers a unique opportunity to make a significant impact on public health through research, teaching, and collaboration.

Compensation:

The target hiring range is $110,000 - $160,000 on a 9-month, academic basis. Final salary offer will be contingent on rank and skills and abilities demonstrated throughout the selection process

Required Qualifications:

  • PhD/Doctorate. in social work or a related field.
  • Ability to meet rank of a tenured associate or full professor in the Department of Social Work at UWM which includes a strong record of research and scholarship, teaching, and service accomplishments comparable to those of a tenured associate or full professor.
  • Proven success in securing external research funding, preferably federal funding in areas of applied AI.
  • Demonstrated commitment to fostering inclusive environments and supporting the success of students, including historically underrepresented students (e.g. first-generation students, Pell-eligible students).

Preferred Qualifications:

  • Proven track record of interdisciplinary research collaboration related to AI and Data Science.
  • Demonstrated experience in developing and sustaining partnerships with local organizations.
  • Strong record of community-engaged research that addresses systemic challenges, employs empowered and emancipatory approaches, and generates equitable and inclusive outcomes.
  • Demonstrated contributions to advancing underrepresented areas in AI, with tangible impacts on societal benefits, ethical AI development, and reducing biases and inequities in technology access.
  • Expertise in analyzing and addressing systemic challenges affecting urban and underrepresented populations using AI.

How to Apply:

Interested candidates are required to submit the following:

  • Curriculum vitae.
  • Letter of interest describing research interests, past accomplishments, qualifications, funding record, and vision for collaborative work with Northwestern Mutual Data Science Institute.
  • Referee List (names and contact information of at least three references). Letters of recommendation will be requested by the search committee after the initial review.

Note: Applicants must complete all required fields and attach all required documents prior to submitting the online application to ensure full consideration. Additional documents submitted aside from these required materials will not be considered.

In instances where the Search and Screen Committee is unable to ascertain from the candidates’ application materials whether they meet any of the qualifications, they may be evaluated as not meeting such qualifications.

This is a continuous recruitment with an initial review date of October 19, 2026. To ensure consideration, applications must be submitted by October 18, 2026. Application materials received after October 18, 2026 may not receive consideration.

Be part of UWM’s mission to transform lives and communities through research, collaboration, and community engagement.

Questions about this position should be directed to Joshua Xiong at [email protected].

Reasonable Accommodations Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact [email protected] or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability.

Confidentiality of Applicant Materials UWM is a State agency and subject to Wisconsin’s Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin’s Open Records law. In certain circumstances, the identities of “final candidates” and/or the identity of the appointed applicant must be revealed upon request.

CBC and Reference Check Policy Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.

Annual Security and Fire Safety Report (Clery Act) For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/, or call UWM’s Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy.

Employment Authorization In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

UW is an Equal Opportunity Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lubar Executive MBA Program's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Lubar Executive MBA Program's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Lubar Executive MBA Program's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.