PhD Student Advisory Team Member

University of Denver; United States; Remote; USD 10,000 - 60,000; Part time

Job summary

A leading company seeks PhD students to join their Advisory Team for an innovative AI-driven research assistant project. Members will guide development, provide feedback, and ensure ethical standards are met while enhancing their professional network. This remote opportunity requires a commitment of 2-4 hours per month.

Benefits

Professional Networking

Experience in Advisory Roles

Potential Acknowledgment in Publications

Qualifications

• Current enrollment in a PhD program required.
• Strong understanding of academic research process needed.

Responsibilities

• Provide strategic guidance and domain-specific insights.
• Review prototypes and provide constructive feedback.

Skills

Communication

Ethical Research Practices

Education

PhD Program Enrollment

Tools

AI Tools

Job description

and the job listing Expires on June 9, 2025

Nationwide Internship, Co-op, or Experiential Learning

OPEN TO PhD Students, PhD Graduates, and Professorsof All Disciplines.

Position Title:

PhD Student Advisory Team Member – AI Research Assistant Development

Location:

Remote

The Vision:

At Orbis Scientia, we envision a world where scholarly exploration is no longer hindered by fragmentation, inefficiency, or information overload. We are redefining the research journey as a seamless, intelligent, and illuminating experience—one where human curiosity is amplified by AI, where theory is dynamically constructed from insight, and where every research question leads to meaningful contribution. Our mission is to empower researchers to navigate the vast world of knowledge with clarity, creativity, and precision, transforming exploration into contribution and advancing the future of academic discovery.

Project Overview of Orbis Scientia:

We are developing an innovative AI-driven research assistant designed to transform and modernize the academic research process. This next-generation tool is being built to support researchers through three core phases of scholarly investigation: (1) the development of unique research questions and hypotheses, (2) the execution of comprehensive and reproducible literature searches, and (3) the definition and completion of rigorous meta-analyses. Our aim is to shift the current research paradigm from fragmented, manual workflows to a seamless, intelligent, and project-centered approach.

Unlike existing AI tools such as Elicit, ChatGPT, DeepSeek, or Gemini—which operate primarily on a query-response model—our platform reconceptualizes academic inquiry as a dynamic and evolving project. Rather than serving as a passive answer generator, our AI system proactively stores, organizes, and updates results from thousands of AI and literature search queries in a dedicated project database. This persistent and cumulative model enables researchers to track, refine, and reanalyze findings as new information emerges, thus eliminating redundant effort and dramatically accelerating the research timeline.

By integrating cutting-edge AI technologies with robust data architecture (including MS SQL databases and APIs to major academic article repositories), we are building a unified research environment that brings automation, continuity, and intelligence to the entire research lifecycle. Researchers will no longer need to rely on scattered tools or manually recreate their analytic paths. Instead, they will gain access to a centralized platform that functions as a command center—intuitively guiding them from the generation of research ideas to the synthesis of knowledge.

This system is not just a tool—it is an intelligent infrastructure for accelerating discovery, improving transparency, and enhancing the scientific contribution of every research project.

Role Summary:

We are seeking current PhD students to join our Advisory Team. Members will provide strategic guidance, domain-specific insights, and academic rigor to ensure the tool aligns with the research community’s needs and standards.

Key Responsibilities:

• Strategic Guidance: Offer insights into the research process to inform system design and functionality.
• Domain Expertise: Provide subject-specific knowledge to enhance the tool’s applicability across various disciplines.
• Feedback and Evaluation: Review prototypes and provide constructive feedback to guide development.
• Ethical Oversight: Ensure the tool adheres to ethical standards in research and data handling.
• Outreach and Advocacy: Act as ambassadors for the project within academic circles, promoting its adoption and gathering user feedback.

Preferred Qualifications:

• Current enrollment in a PhD program (Professors and Graduate PhDs are also invited)
• Strong understanding of the academic research process, including literature reviews and meta-analyses.
• Familiarity with AI tools and their application in research settings.
• Excellent communication skills and the ability to provide clear, constructive feedback.
• Demonstrated commitment to ethical research practices.

Time Commitment:

• Approximately 2–4 hours per month, including meetings and review sessions.
• Opportunity to influence the development of a tool poised to transform academic research.
• Collaborate with a multidisciplinary team of researchers and developers.
• Enhance your professional network and gain experience in advisory roles.
• Potential acknowledgment in publications and presentations resulting from the project.

Application Process:

Interested candidates should submit the following:

• A brief statement of interest outlining relevant experience and motivation for joining the Advisory Team.

Please put the subject: Interest in PhD Student Advisory Team Member [Your Name]

Bradley, the project leader, is a current PhD student at the Daniels School of Business and has been developing innovative software solutions for over 45 years.