OPEN POSITIONS
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Professional Research Assistant – MOLAS Lab
The MOLAS Lab is seeking a Professional Research Assistant with experience working with mice and applying systems neuroscience techniques.
Interested candidates feel free to reach via email susanna.molas@colorado.edu for more details.
Application deadline: February 28, 2026.
Postdoctoral Researcher – MOLAS Lab
The MOLAS Lab is excited to invite applications for a postdoctoral researcher position with three years of full salary support. The successful candidate will work on an ambitious project aimed at uncovering the neural circuits underlying social behaviors.
Applicants should hold a PhD in neuroscience and have experience working with rodent models. Ideal candidates will be familiar with systems neuroscience approaches, including fiber photometry recordings, optogenetics, chemogenetics, and machine-learning–based methods for behavioral annotation.
Candidates are encouraged to submit a CV and letter of interest to susanna.molas@colorado.edu
Application deadline: March 31, 2026.
Laboratory of Systems and Behavioral Neuroscience
Laboratory of Systems and Behavioral Neuroscience
The Molas Lab is dedicated to uncovering the neural circuits and mechanisms that drive behavioral response to novel stimuli and shape adaptive learning through repeated experiences.
Our research employs a multidisciplinary approach, integrating advanced techniques such as circuit mapping, genetic tools for neuronal ensemble tagging, singe cell gene expression analysis, imaging, optogenetics, chemogenetics and machine learning tools for animal behavior annotation to provide deeper insights into brain function and behavior.
Multidisciplinary and Integrative Approach
Behavioral Annotation
We use supervised and unsupervised machine learning models for multi-pose animal estimation and behavioral classification.
Imaging Tools
We combine in vivo fiber photometry recordings and single-cell imaging time locked to behavioral events.
Neuronal Ensemble Tagging
We have established mouse models and genetic tools for neuronal ensemble tagging with effector genes, enabling the analysis of regional activation patterns through whole brain imaging.
Molecular Biology
We combine in situ RNA Scope, immunofluorescence and single cell spatial transcriptomics techniques to elucidate gene transcription patterns in selected neuronal populations.
Circuit Mapping
Through viral-mediated anterograde and retrograde tracing we define neuronal circuitry of selectively identified genetic populations.
Activity Manipulations
We use time-locked optogenetics and chemogenetics tools (DREADDs) to manipulate activity of genetically identified circuits and establish their role in behavioral domains.
Disease Models
Our research includes a translational perspective to elucidate neural circuit function in disease conditions.
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