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Supervision of a doctoral candidate

You supervise doctoral students and you wish to consolidate the principles and practices that give meaning to your mission. This training is for you!

They participated, they talk about it:

"I realized that I was working as a freelancer! Now I have tools."
"It's a training that goes beyond supervision, it's about management in the broadest sense."
"When I was a doctoral student, my supervisor was excellent; now I know why."

Contact our Training department
+33 1 427 427 29

From 20 November 2025 - 9h
to 21 November 2025 - 17h

Training catalogue record	Supervision of a doctoral candidate
Inscription	Open
Registration process	Online : prefer online payment by credit card to garantee your subscription
Number of seats	10
Audience	- Supervisor of PhD candidates
Further information about the audience	Any person who supervises or is going to supervise doctoral students (thesis director, tutor, industrial supervisor of CIFRE doctoral students, etc.)
The training session will be conducted in:	French

Paid service
Rate (per person)	240 € TTC
Staff from research organizations and universities	0 € TTC

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Goals

Gain experience with critical situations as a supervisor
Learn to empower PhD candidates
Become familiar with management fundamentals and apply them to the supervision of PhD candidates
Encourage the integration of doctoral students and build a doctoral supervision mode of operation
Build a common vision of the supervision of a PhD candidate

First day

The roles of supervisor and doctoral student, building an effective relationship - Elaboration of a common vision and knowledge of official recommendations
Welcoming and integrating a doctoral student, the key role of the first year - Reflection, exchange of practices, methods to take away
Accompanying the doctoral student in becoming autonomous - Methods to take away

Second day

Management fundamentals and application to the supervision of PhD candidates – Simulations and methods to take away
Role-playing
Ensuring quality recruitment of PhD candidates – Analysis, sharing of practices, methods to take away