Candidates are expected to be U.S. citizens or permanent residents at the beginning of their third or fourth year of training and will be evaluated by the Steering Committee.

Criteria for selection include, but are not limited to:

1. strength of undergraduate and graduate academic record (attach transcript);
2. faculty mentor recommendation (in application body – no separate letter necessary);
3. brief research plan, including relevance to learning and memory;
4. evidence of productivity - abstracts, meeting presentations, publications (attach CV);
5. strength of quantitative and analytical skills; and
6. a commitment to the field of learning and memory.

PI’s need to provide justification for why the candidate is a good fit for this training mechanism, his/her commitment to the learning and memory field, as well as thoughts on current and future productivity as a scholar. Both PhD and MD/PhD students are welcome to apply. There are no restrictions on department or particular doctoral training program.

The Schneiderman Training Program is an immersive experience in learning and memory and is a major undertaking by trainees.

Courses: All trainees will be expected to successfully complete two required courses which generally count towards advanced course requirements for the PhD degree:

• Advanced Topics in Learning and Memory (M. Yassa)
• Neural computation (B. McNaughton).

Workshops: Trainees are expected to complete the following workshops:

• Team Science Approaches to Neuroscientific Inquiry
• Experimental Design and Quantitative Approaches
• Science Communication

Activities: Trainees are expected to take part in the following activities:

• attend the CNLM Learning and Memory Colloquium Series;
• attend and present work annually at the T32 Fall Retreat; and
• attend and present work annually at the CNLM Spring Conference.

All trainees are also expected to complete modules on Rigor and Reproducibility as well as Responsible Conduct of Research. To be renewed for a second year, trainees will need to demonstrate a commitment to the training program activities, satisfactory research progress as well as timely progress towards degree completion.

Faculty mentors are encouraged to download information packet for more information.

 

 

 

2022/2023 Fellows

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Vinicius Duarte
Advisor: Dr. Katherine Thompson-Peer

 

 

 

 

 

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Kate Lawson
Advisor: Dr. Steve Mahler

 

 

 

 

 

 

Bianca Leonard
Advisor: Dr. Michael Yassa

 

 

 

 

 

Nellie Nelson
Advisor: Dr. Autumn Ivy

 

 

 

 

 

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Ali Ozgur
Advisor: Dr. Gyorgy Lur

 

 

 

 

 

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2021/2022 Fellows

Carlene Chinn
Advisor: Dr. Marcelo Wood

 

 

 

 

 

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Elena Dominguez
Advisor: Dr. Craig Stark

 

 

 

 

 

 

Vinicius Duarte
Advisor: Dr. Katherine Thompson-Peer

 

 

 

 

 

 

Steve Granger
Advisor: Dr. Michael Yassa

 

 

 

 

 

 

Rachael Hokenson
Advisor: Dr. Tallie Z. Baram

 

 

 

 

 

2020/2021 Fellows

Miranda Chappel-Farley
Advisor: Dr. Michael Yassa

 

 

 

 

 

 

Elena Dominguez
Advisor: Dr. Craig Stark

 

 

 

 

 

 

Steve Granger
Advisor: Dr. Michael Yassa

 

 

 

 

 

 

Rachael Hokenson
Advisor: Dr. Tallie Z. Baram

 

 

 

 

 

 

Aliza Le
Advisors: Dr. Christine Gall and Dr. Gary Lynch

 

 

 

 

2019/2020 Fellows

Aliza Le
Advisors: Dr. Christine Gall and Dr. Gary Lynch

 

 

 

 

 

Sophia Levis
Advisors: Dr. Tallie Z. Baram and Dr. Stephen Mahler