Fellowships & Jobs

 

Fellowships, Programs, and Grants

Postdoctoral Position in the Computational & Cognitive Neuroscience Lab

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. Initial appointment is for one year, renewable for up to 2-3 years.

THE PROGRAM: Dr. Yu’s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include perception, face processing, active sensing, judgement and decision making, and social cognition.

Applicants should be committed to applying rigorous mathematical tools to model cognitive functions and/or their neural underpinnings. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other neuroimaging/neurophysiology laboratories is desirable.

APPLICATION: Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu@ucsd.edu) with the subject “Postdoc Application”. Two or more letters of references should be sent directly by the recommenders to ajyu@ucsd.edu. More information please visit Dr. Angela Yu's webpage

Posted: 01/29/20

BrainsCAN Postdoctoral Fellowship Program

The BrainsCAN Postdoctoral Fellowship Program has been developed to attract the world’s most promising early-career neuroscientists.

THE PROGRAM: The BrainsCAN Postdoctoral Fellowship Program is part of Western’s $66M BrainsCAN initiative, supported by the Canada First Research Excellence Fund (CFREF). The CFREF investment enables researchers at the University, along with their national and international academic and commercial partners, to seek answers to fundamental questions regarding how we learn, think, move and communicate.

Already ranked amongst the best in the world in cognitive neurosciences and neuroimaging, Western researchers employ cognitive, computational, clinical, and translational approaches to understand and intervene in brain function. Postdoctoral Fellows will have access to BrainsCAN-supported core facilities. 

ELIGIBILITY: Successful applicants will be outstanding scientists whose innovative work has already achieved impact, and who have demonstrated great potential for continued contributions.

APPLICATION DEADLINE: February 1, 2020. Find out more on the BrainsCAN Postdoctoral Fellowship Program webpage. 

Posted: 01/09/20

2020 Complex Systems Summer School

THE PROGRAM: The SFI Complex Systems Summer School (CSSS) offers an intensive four-week introduction to complex behavior in mathematical, physical, living, and social systems. The program consists of a series of lectures, labs, and discussion focusing on foundational concepts, tools, and current topics in complexity science. The school is taught by the faculty of the Santa Fe Institute (SFI) and other leading educators and scholars. The program runs from June 14 to July 10, 2020.

ELIGIBILITY: The school is for graduate students, postdoctoral fellows, and professionals seeking to transcend disciplinary boundaries, and take intellectual risks. Applicant are welcome from all countries. Women and members of underepresented groups and istitutions are especially encouraged to apply. 

APPLICATION DEADLINE: January 21, 2020. Find out more on the Complex Systems Summer School webpage. 

Posted: 10/25/19

Jobs

Computing and Information Sciences Rochester Institute of Technology

The B. Thomas Golisano College of Computing and Information Sciences at the Rochester Institute of Technology invites applications and nominations for the following faculty position:

Assistant Professor in Data Science, Software Engineering Department (4854BR) with discipline expertise in any area of data science or applied artificial intelligence and with a track record of publications in leading data science and/or artificial intelligence venues.

Anticipated Start Date: January 6th, 2020 

For specific information about the positions and the application process visit the RIT Career Zone and refer to the BR number 4854BR.

RIT has been honored by The Chronicle of Higher Education as one of the “Great Colleges to Work For” for four years. RIT is a National Science Foundation ADVANCE Institutional Transformation site.

Posted: 11/15/19

Data Engineer/Scientist Intern

Data Engineer/Scientist Intern

Motive Interactive Inc. is a mobile advertising platform that build performance solutions
for advertisers, publishers and agencies. Founded in 2003, Motive Interactive has
delivered user acquisitions and app-platforms that engaged robust target audiences and
ranked in the top 3 effective advertising partners, only succeeded by Twitter and
Google. We are looking for a Ph.D. candidate or similar degree in one of the data-oriented
principles to intern with us. This internship could be transferred into a
permanent position in the future.


Responsibilities:
• Use data pre-processing methods including ETL, schema/data translation and
integration with filtering to transform big data sets into data warehouses and
analytics platform
• Work with stakeholders including Data Science, Analytics, Product and Business
teams to assist data related technical issues and support their data infrastructure
needs
• Verify third party data and assemble large, complex data sets that meet business
requirements
• Do ad-hoc analysis and present results
• Work with engineering team to expand and optimize our data and data pipeline
architectures, as well as data flow and collection for cross-functional teams


Qualifications:
• A strong understanding of predictive modeling
• Practice in machine learning theory, data structures and algorithms
• Solid foundation in statistics, regression, correlation, etc..
• Solid background in data analytics
• Good working SQL knowledge and experience working with relational database
• Basic understanding of ETL mechanism
• Good scripting and programming skills. Python skill is highly preferred.
• Knowledge of data visualization and related tools.
• Excellent communications
• Passionate in learning
• Education: Ph.D candidate in Computer Science, Statistics or related technical
fields
• Nice to have:
-Experienced in any of the version control system (Git, perforce, etc.).
-Understanding of Unit testing and debugging protocols
-Experience in Amazon Web Service (AWS) or any other cloud platforms
-Familiar with common data engineering tools such as R, Hadoop, NoSQL
etc.