Tallinn University of Technology

TalTech is pleased to announce an upcoming professional development opportunity specifically created for our faculty members, targeting those who are new to PhD supervision as well as experienced supervisors looking to enhance their supervisory skills. 

The doctoral supervision training course provides both new and experienced PhD supervisors with a structured approach to addressing the challenges of doctoral supervision. Invest in your own professional development and contribute to the success of TalTech's doctoral programs by enhancing your supervisory skills through this comprehensive workshop offered by TalTech’s newly certified PhD supervision trainers from the schools of science, engineering and IT.

Read also the eye-opening story about how the supervision trainers studied to train PhD supervisors themselves. 

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The training course covers six essential components of effective doctoral supervision:The training course covers six essential components of effective doctoral supervision:The training course covers six essential components of effective doctoral supervision:The training course covers six essential components of effective doctoral supervision:The training course covers six essential components of effective doctoral supervision:

The training course covers six essential components of effective doctoral supervision:

  • Introduction and 'Supervisory Biography' - Reflect on your own supervisory style and experiences through guided exercises and group discussions
  • Clarifying Mutual Expectations, Supervisory Roles, Relations and Conflicts - Develop strategies for establishing clear communication and expectations with doctoral candidates
  • Defensive Routines and Productive Learning - Learn to identify and overcome barriers to productive supervision and support doctoral candidates' learning processes
  • Recruiting and Selection - Explore best practices for identifying suitable doctoral candidates and establishing productive working relationships from the start
  • Early Warning Signs and Supervisory Inquiry; Keeping Up and Rebuilding Candidates' Motivation - Develop skills to recognize when candidates are struggling and implement effective interventions
  • Introduction to Supervisory 'Intervision' - Practice collaborative problem-solving approaches with peer supervisors to address challenging supervisory situations

Feedback from previous TalTech participants over the last five years reveals common challenges faced by our supervisors that this workshop directly addresses:

  • Time Management and Balancing Responsibilities
    Many supervisors report struggling with balancing supervision duties with other academic responsibilities. One participant noted: "The main problem is time. But this means time management is probably something which can be improved. Also, how to organize supervision most effectively." The workshop provides concrete strategies for efficient and effective supervision practices.
  • Motivating Doctoral Candidates
    Several supervisors expressed concern about maintaining candidate motivation, particularly when facing research setbacks. A common question by participants is: "How to motivate my PhD candidate so that the work progresses despite the fact that criticism comes from doctoral seminars, articles are rejected, etc.? There are more setbacks than progress." The workshop includes specific modules on motivation and productive learning.
  • Clarifying Expectations
    Survey responses from the last five years revealed significant variation in how supervisors communicate expectations, ranging from: "I have a talk with each student when they start, and then regularly (every 1-2 months) remind and clarify expectations as needed" to more structured approaches like: "Semester work plan meeting at the start of each semester - to set goals and discuss expectations." The workshop provides frameworks for establishing clear expectations that support candidate success.
  • Managing Diverse Supervisory Styles
    Current supervisors describe their styles in varied ways, including “supportive,” “demanding,” “flexible,” and “collegial.” The workshop helps participants understand their natural supervisory tendencies and adapt their approach to meet individual candidates' needs while maintaining appropriate boundaries.
  • Handling Challenging Situations
    Many participants expressed anxiety about addressing conflicts or performance issues: "If the student is not performing well, it should be easier for supervisor to let them go. Not enough regulations/protocol that support supervisors from students that do not perform as expected." The conflict resolution and early warning signs modules directly address these concerns.
     





Workshop participants will gain:

  • Practical tools for time-efficient supervision that support both supervisor and candidate success
  • Enhanced communication skills for clarifying expectations and providing constructive feedback
  • Strategies for supporting candidate motivation throughout the doctoral journey
  • Techniques for early identification of potential problems and appropriate interventions
  • A supportive peer network of fellow supervisors for continued professional development
  • Greater confidence in your ability to guide doctoral candidates to successful completion

Workshop Schedule

The training course starts on April 25th and takes place on Fridays from 10:00 to 11:30 as follows:

  1. 25th April: meeting with the participants, introduction 
  2. 2nd of May: Introduction, 'Supervisory Biography' (including a short group exercise) 
  3. 9th of May: Clarifying Mutual Expectations, Supervisory Roles, Relations and Conflicts (including a short group exercise) 
  4. 16th of May: Defensive Routines and Productive Learning (including a short group exercise) 
  5. 23rd of May: Recruiting and Selection (including a short group exercise) 
  6. 30th of May: Early Warning Signs and Supervisory Inquiry. Keeping Up and Rebuilding Candidates' Motivation (incl. a short group exercise)
  7. 6th of June: Introduction into Supervisory 'Intervision' (including an 'Intervision' group exercise) 
  8. 13th of June: feedback, wrapping it up 

It is important to attend all the training days.

The workshop is held on-site, the exact location will be announced to those registered.
 

Registration Information
 

Academic colleagues interested in participating should register by April 17 at latest

Registration form

NB! Space is limited to ensure an interactive learning environment.

The next training is planned for autumn 2025.

Contact 
Kaire Kaljuvee
Head of Unit of phD study
Research Administration Office
kaire.kaljuvee@taltech.ee