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PhD Research Fellowship Opportunity in AI and Machine Learning

Viocare, Inc.
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PhD Research Fellowship Opportunity in Artificial Intelligence and Machine Learning
Viocare, Inc. | Advancing Dietary Assessment and Nutrition Technologies

About the Opportunity
Viocare, Inc., a leader in dietary assessment and nutrition technology, is seeking a highly motivated PhD graduate or PhD candidate (graduating within the next year) for a two-year Research Fellowship. This is a unique opportunity to work on groundbreaking projects that apply Artificial Intelligence (AI) and Machine Learning (ML) to enhance personalized nutrition tools and address critical public health challenges.

Note:  This position will be funded by a State of New Jersey grant and requires that the candidate must have prepared a dissertation to receive a Ph.D. degree and be ready to present and defend the dissertation within 12 months or has just received a Ph.D. degree within the past 12 months.  This job is contingent on Viocare's receiving the New Jersey PhD grant funding. Although the position is remote, Viocare requires that the individual have a New Jersey residence. Preference will   be given to graduates of New Jersey universities.

Position Overview
The selected Research Fellow will play a key role in advancing innovative technologies and contributing to applied research, including:

  • Enhancing Viocare’s VioScreen dietary assessment tool through AI-driven personalized feedback solutions.
  • Supporting the development of AI/ML-integrated mobile applications to enable real-time dietary tracking and nutritional recommendations.
  • Expanding AI capabilities within the Living Well Navigator (LWN) tool to curate resources addressing food insecurity, including WIC, SNAP, and community support programs.
  • Conducting applied AI/ML research in healthcare, with opportunities to publish findings and present at national and international conferences.
  • Participating in NIH-funded projects to advance personalized nutrition technologies and tackle public health concerns.
  • Optimizing VioScreen’s 100,000+ assessment dataset by streamlining the user questionnaire while maintaining analysis quality and integrity.

Key Responsibilities

  • Develop and implement AI/ML algorithms to enhance dietary assessment tools and personalized nutrition feedback mechanisms.
  • Advance the Living Well Navigator’s AI capabilities to improve resource identification and scalability across diverse geographic regions.
  • Analyze dietary intake data and social determinants of health (SDoH) to uncover patterns and deliver actionable insights.
  • Collaborate with interdisciplinary teams of dietitians, software developers, and researchers to ensure technology aligns with end-user needs.
  • Contribute to the integration of AI/ML functionalities into mobile applications, enhancing user engagement and data accuracy.

Qualifications

  • PhD (recently completed or expected within the next year) in Computer Science, Data Science, AI/ML, Biomedical Informatics, or a related discipline.
  • Strong expertise in machine learning, natural language processing (NLP), and advanced data analytics, with a proven track record of AI/ML project implementation.
  • Proficiency in programming languages and frameworks such as Python, TensorFlow, PyTorch, or equivalent tools.
  • Experience or demonstrated interest in public health, food insecurity, or healthcare-focused applications is preferred.
  • Exceptional problem-solving, analytical, and communication skills.
  • Ability to work independently and effectively in a remote environment.

Other Requirements from the New Jersey Innovation and Research Fellowship Program:

  • To be eligible for a grant under the IRFP, the applicant fellow must satisfy the following criteria as February 7, 2025.
    • He or she must have prepared a dissertation to receive a Ph.D. degree and be ready to present and defend the dissertation within 12 months or has just received a Ph.D. degree within the past 12 months.
    • He or she must be in good standing with the conferring university.
    • He or she must be a United States citizen, be a legal permanent resident, or possess all of the following: a valid immigrant visa, a valid employment authorization document, and an I-485 application pending with the United States Citizenship and Immigration Service. (Fellow candidates seeking Optional Practical Training (OPT) are not eligible to apply for this position/ IRFP grant).

Benefits and Compensation

  • Competitive two-year fellowship salary. $85,000 in year one and up to $120,000 in year two.
  • Opportunity to contribute to innovative, real-world solutions in health, nutrition, and public health.
  • Engagement in NIH-funded research initiatives, with exposure to federal grant-funded innovation projects.
  • Professional growth opportunities, including research publications and conference presentations.
  • Full-time employment benefits, including a comprehensive benefits package.

How to Apply
Qualified applicants are invited to submit the following materials to [Insert Contact Information]:

  • A current resume or CV
  • A cover letter detailing your relevant experience and interest in the fellowship
  • Contact information for three professional references

About Viocare, Inc.
Viocare, Inc. is a pioneering company in dietary assessment and nutrition technology. Our flagship product, VioScreen, and the Living Well Navigator tool are designed to enhance individual health outcomes while addressing broader public health concerns such as food insecurity. Through continuous innovation and the integration of AI/ML technologies, Viocare remains committed to developing impactful solutions that bridge personalized nutrition with critical public health needs.

Viocare, Inc. is an equal opportunity employer committed to fostering a diverse and inclusive work environment.