Machine Learning Postdoctoral Fellow for Developing Trustworthy AI at Fretwell

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The University of North Carolina at Charlotte is seeking a Postdoctoral Fellow in Machine Learning for trustworthy AI. The position is a one-year appointment with a possibility of renewal up to one additional year, subject to budget approval, and will focus on evaluating and testing AI/ML and Deep Learning-based algorithms to identify model weaknesses and improvements. The successful candidate will work with Professor Taufiquar Khan and Charlotte’s banking industry to ensure that AI/ML applications are robust, reliable, resilient, and free from bias.

The successful candidate is expected to have a background in statistical and deterministic machine learning, model risk validation, and uncertainty quantification. The aim of the post-doctoral fellowship is to prepare the appointee for research careers in the industry or careers involving industrial interactions in the academy. The postdoc will be expected to spend half of their time on industry applications of trustworthy AI and half on their research. Postdocs will receive guidance and opportunities for collaboration with their industry mentor.

The School of Data Science is an interdisciplinary unit governed by five colleges, offering a BS and two MS degrees with another BS and a PhD in development. The School teaches and researches methods to apply statistics and computer science to areas of passion of the students and faculty, varying from the ethical use of data, to communication studies, business, healthcare, political science, transportation, engineering, and more.

For financial reasons, AI/ML-based algorithms need to be deployed and be able to withstand adverse environments, Khan said. This fellowship fills a crucial gap in the research on AI/ML applications where we identify what works and what does not work, from unbiased, robust, and transparent methods. It’s a great opportunity to make a practical and immediate contribution.

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The appointee must have received a Ph.D. or equivalent doctorate, such as Sc.D. or M.D., within the last eight years. They will work under the supervision of a mentor, who will impart the realities and variety of scientific careers, and will encourage experiences outside the laboratory to broaden postdocs’ aspirations. The role of the postdoctoral fellow is characterized by several conditions, including a temporary appointment that involves substantially full-time research or scholarship, viewed as preparatory for a full-time academic and/or research career.

UNC Charlotte is a doctoral, research-intensive urban university, with more than 30,000 culturally and ethnically diverse students and 21 departments in humanities, social and behavioral sciences, natural sciences and mathematics, and military sciences, as well as 28 applied research centers and interdisciplinary programs. The University supports faculty with excellent family and medical leave policies, junior faculty development awards, internal faculty research grant opportunities, and other research opportunities.

As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, UNC Charlotte encourages applications from all underrepresented groups. The candidate chosen for this position will be required to provide an official transcript of their highest earned degree and be subject to a criminal background check. Interested candidates can apply by submitting their curriculum vita, a brief statement of research interests, and research papers/preprints that reflect their research experience on the UNC Charlotte’s website.

Frequently Asked Questions (FAQs) Related to the Above News

What is the position being offered by the University of North Carolina at Charlotte?

The University of North Carolina at Charlotte is seeking a Postdoctoral Fellow in Machine Learning for trustworthy AI.

What will the postdoctoral fellow focus on?

The postdoctoral fellow will focus on evaluating and testing AI/ML and Deep Learning-based algorithms to identify model weaknesses and improvements.

What is the duration of the appointment?

The appointment is for one year with a possibility of renewal up to one additional year, subject to budget approval.

What kind of background is expected of the successful candidate?

The successful candidate is expected to have a background in statistical and deterministic machine learning, model risk validation, and uncertainty quantification.

What is the aim of the post-doctoral fellowship?

The aim of the post-doctoral fellowship is to prepare the appointee for research careers in the industry or careers involving industrial interactions in the academy.

What kind of guidance and opportunities will the postdoc receive?

The postdoc will receive guidance and opportunities for collaboration with their industry mentor.

What is the School of Data Science?

The School of Data Science is an interdisciplinary unit governed by five colleges, offering a BS and two MS degrees with another BS and a PhD in development.

Why is the role of the postdoctoral fellow important?

Financial reasons dictate that AI/ML-based algorithms need to be deployed and be able to withstand adverse environments; the role of the postdoctoral fellow is to identify what works and what does not work from unbiased, robust, and transparent methods.

What are the eligibility requirements for the appointee?

The appointee must have received a Ph.D. or equivalent doctorate, such as Sc.D. or M.D., within the last eight years.

What kind of support does UNC Charlotte offer its faculty?

UNC Charlotte supports faculty with excellent family and medical leave policies, junior faculty development awards, internal faculty research grant opportunities, and other research opportunities.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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