Postdoctoral position in computational modeling of behavioral and neural data in anxiety at the Computational Mechanisms of Psychopathology Lab at Emory University (PI: Vanessa Brown, PhD)
The Computational Mechanisms of Psychopathology Lab (COMPLab; PI: Vanessa Brown, PhD) is recruiting a postdoctoral fellow to join the lab. Research in the lab uses behavioral tasks (administered in-lab and remotely), functional and structural imaging, computational modeling, and mechanistic interventions (brief psychotherapy, neuromodulation) to investigate learning alterations in anxiety and related disorders.
This position is ideal for someone with a background in some combination of: behavior/learning theory approaches to anxiety, computational modeling of behavior, and fMRI analysis; and who wishes to gain or deepen expertise in these areas. More information about research in the lab here.
The postdoctoral fellow will be expected to design experiments, analyze data, present and publish findings, apply for external funding, and assist with training other lab members and with lab management. Mentorship and support are provided to assist the postdoctoral fellow to prepare for an independent research career.
Anticipated start date is Summer/Fall 2024 but can be flexible based on the candidates timeline.
Required skills/qualifications:
- A PhD (by start of employment) in Psychology, Neuroscience, Cognitive Science, or related field
- Expertise in advanced quantitative/statistical methods (e.g., generative computational modeling, multilevel and/or structural equation modeling, univariate and/or multivariate fMRI/EEG analysis)
- Knowledge of R, Python, MatLab, shell scripts, or similar programming languages
- Interest in mechanisms of psychopathology, particularly anxiety
To apply, please submit the following at here and via email to Dr. Brown at vanessa.m.brown@emory.edu
- Cover letter detailing fit for lab based on research interests and required skills/qualifications
- CV
- Names and contact information for three professional references
- Representative publication (can be a preprint or in prep)