Connectionists: Scientist/Postdoc in Computational Neuroscience at Allen Institute for Brain Science

[Uygar Sumbul]

POSITION SUMMARY:
The Allen Institute for Brain Science is engaged in a major effort to characterize and understand cell types of the brain. As part of this initiative, the Institute has been generating standardized, high-throughput recordings of neuronal anatomy, physiology, and gene expression in recent years. Principled, data driven analyses are necessary to facilitate discovery from these large, multi-modal datasets.

We are seeking to fill a Scientist level position to design modern machine learning methods for the characterization of cortical neurons, with an emphasis on Bayesian inference for models involving artificial neural networks. In addition to datasets curated by the well-established mouse cortical cell types program, the unique human cortical cell types project at the Institute continues to ramp up data generation. This position will work with interdisciplinary teams consisting of quantitative and experimental scientists on high-priority modeling and analysis problems that include (i) statistical descriptions of cell identity, (ii) deep learning based joint analysis of multi-modal datasets, and (iii) non-parametric mixture models.

JOB RESPONSIBILTIES:
- Develop statistical models of cell identity.
- Develop novel Bayesian inference algorithms for multi-modal data.
- Participate in a highly interactive and multidisciplinary environment.
- Publish/present findings in peer-reviewed journals/scientific conferences.

BASIC QUALIFICATIONS
- PhD in computer science, neuroscience, physics, mathematics, engineering, or related field.
- Experience with Bayesian modeling and inference.

PREFERRED QUALIFICATIONS:
- Ability to work in a collaborative environment.
- Experience in computational neuroscience.
- Experience with GPU-based deep learning.
- Proven independent thinking.
- Strong written and verbal communication skills.
- Strong publication record.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

To apply please visit
https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=912257&&cust_sort1=29268&nohd#job

Uygar Sümbül
Assistant Investigator
Allen Institute for Brain Science


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20190112/796e7e1b/attachment.html>