Hands-On Training: Doctoral Supervision in the Age of AI

Maintaining academic judgement, research quality, and integrity in AI-mediated research environments

Hands-On Training: Doctoral Supervision in the Age of AI

Maintain academic judgement, research quality, and integrity in an AI-mediated research environment.

Offered in Two Ways:
• As an individual stand-alone one-day training on 10 May 2026

• As part of the in-person Doctoral Faculty Residency in Malta (May 8–11, 2026)

Overview

The training addresses one of the most significant transformations currently shaping doctoral education: the integration of Artificial Intelligence into doctoral research and supervision.

AI tools are already embedded in how doctoral candidates explore literature, collect and analyse data, and develop written work.

The key question is not whether AI will be used, but how supervisors maintain academic judgement, research quality, and integrity in an AI-mediated research environment.

This training is practical, applied, and supervisor-centred. It focuses on what supervisors must actually do when AI becomes part of the doctoral research process.

This intensive training is designed with flexibility in mind. You can join us for:

The Standalone 1-Day Training (10 May), or
The Full Residency (8–11 May)

Who is this training for?

This training is ideal for:

Doctoral supervisors and faculty involved in doctoral education
Experienced doctoral practitioners transitioning into academia or supervision
Doctoral candidates that want to better understand how AI is transforming doctoral research practice

This 1-Day training on 10 May is ideal for individuals seeking a targeted update on AI.

Those looking for a comprehensive professional development experience are encouraged to consider attending the Full Residency from 8 to 11 May.

No advanced technical AI expertise is required.

Learning Outcomes

Participants will:

Understand how AI is transforming doctoral research practice
Strengthen their ability to supervise AI-supported research responsibly
Develop practical strategies to safeguard research quality and integrity
Gain confidence addressing authorship, data, and methodological risks
Translate AI from uncertainty into a supervised research tool

Training Agenda

Training Agenda	Sunday, 10 May 2026
09:00–09:15	Calibration: Where Are We Starting From?
09:15-9:30	Applied Lab I AI Across the Research Lifecycle
10:45–11:00	Break
11:00–12:00	Applied Lab II: AI, Mixed Methods, and the Integration Problem
12:00–12:30	Supervisor Reflection \| When to Say: “Read the F***ing Papers”
12:30–13:30	Lunch
13:30–14:15	Data Clinic \| Ethics, Integrity, and Real-World Data Problems
14:15–15:00	Writing & Integrity Lab \| AI-Supported Writing Without Academic Fraud
15:00–15:15	Break
15:15–16:30	Synthesis Workshop \| What Supervision Must Now Enforce
16:30–17:30	Presentation of Findings \| From Working Groups to Shared Perspective
17:30–18:00	Closing \| Commitments: What Will You Do Differently?

Our host

Dr. Jim Wagstaff

Dr. James (Jim) Wagstaff began his career in the technology sector 35 years ago. Jim has been an educator and entrepreneur in Singapore for the last 14 years of his career. He co-founded Noodle Factory, an AI-powered teaching and learning platform, and Jam Factory, a management consulting and education services business. His career spans various executive roles in technology companies like Dell Technologies, Brocade Communications, and Hewlett Packard Enterprise. Jim's expertise lies in digital pedagogy, focusing on the application of AI in teaching and learning. He is dedicated to advancing educational technology and improving learning outcomes through his research and practical applications. Jim teaches a continuing professional development course at Singapore Management University designed for educators who wish to apply innovative technologies in teaching and learning. Jim holds a doctorate and master’s degree from the University of Liverpool in the UK, a post-doctoral Diploma in Academic Practice, and several other certifications from other institutions. Jim is the author of the AI-Assisted Teaching and Learning: A Generative AI Field Guide for Educators, which explores AI's transformative potential in education.

Dr. Jim joined DoctorateHub as an Affiliated Faculty member in the autumn of 2024.

Training Highlights

DURATION

1 Day

Mode of participation: Standalone or Residency Integrated.

DATE

Sunday 10 May 2026

The full Doctoral Faculty Residency is running from Friday 8 to Monday 11 May 2026

Learn more about the full residency

FEES

Standard fee: 490€ | Early Bird rate: 290€ (until 31 March 2026)

The following discounts apply: ● 70% discount for Young Doctoral Researcher. ● 40% discount for Doctoral Faculty Development Programme members ● Free for DoctorateHub GSBM Faculty as part of the Continuous Professional Development allowance.

STRUCTURE

The training combines Masterclass sessions, Applied supervisory labs, Case-based discussion, and Structured reflection.

All sessions are practice-oriented and grounded in real doctoral supervision contexts.

LOCATION

Malta

Venue to be announced.

MINIMUM REQUIREMENTS

The training is designed for individuals engaged in doctoral-level research and doctoral education.

No advanced technical AI expertise is required.

FAQs

What are the admission requirements

The training is designed for individuals engaged in doctoral-level research and doctoral education.

What are the training fees?

The standard fees for the training are 490€. The Early Bird rate is 290€ (until 31 March 2026).

Do I need to be a member of the Doctoral Faculty Development programme to attend this training?

No. However, members of the Doctoral Development Programme will be admitted first.

Are there any discounts available?

Yes. The following discounts apply:

● 70% discount for Young Doctoral Researcher.
● 40% discount for Doctoral Faculty Development Programme members.
● Free for DoctorateHub GSBM Faculty as part of the Continuous Professional Development allowance.

Note: Discounts can not be combined with the Early Bird rate.

Want to get Ready for Doctoral Supervision in the Age of AI?

The training addresses one of the most significant transformations currently shaping doctoral education: the integration of Artificial Intelligence into doctoral research and supervision.

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