Upcoming Opportunities


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Part of our mission is to ignite and support new partnerships in Big Data that tackle societal challenges with data-driven tools and methods. We’ve shared a selection of opportunities submitted from our community which may be relevant for your work, below. Check each organization’s website for the most up-to-date eligibility criteria, application instructions, and deadlines.

If you have an opportunity you’d like to share, please email contact@nebigdatahub.org.

FUNDING:

Dear Colleague Letter: National Science Foundation (NSF) – Japan Science and Technology Agency (JST) Collaborative Research
Due Date: August 24, 2017

NSF has released a Dear Colleague Letter on supplemental funding opportunities for awardees of the NSF Hubs and Spokes, BIGDATA, CPS, and S&CC programs to collaborate with Japanese PIs funded by JST.

 

Deadline for Scholarships for Training Program in Applied Data Analytics
Due Date: September 15

This program is designed for professionals with a masters’ degree or above with some emphasis in a quantitative field (e.g. statistics, economics or computer science) or at least two years working in a hands-on, data-oriented field.

 

Big Data Spokes Solicitation (NSF 17-546)
Due Date: September 18

 

Dear Colleague Letter: National Science Foundation (NSF) – Japan Science and Technology Agency (JST) Collaborative Research
Due date: October 15, 2017

NSF/CISE is encouraging the submission of supplemental funding requests (of up to $15,000 each, covering travel, lodging and subsistence) to strengthen and expand collaborations between NSF- and JST-funded PIs in shared priority areas. CISE anticipates awarding up to 10 such supplemental funding requests in FY 2018.


JOB POSTINGS:

Multiple Job Postings at Data & Society
Applications accepted until filled.

Click through to view specific information for each of 5 openings.

 

Multiple Job Postings at Viome
Applications accepted until filled.

Click through to view specific information for each of 4 openings.

 

Job Posting: Assistant Scientist in Machine Learning, Brookhaven National Laboratory
Applications accepted until filled

An assistant scientist position is available immediately in Computational Science Initiative (CSI) at Brookhaven National Laboratory. The successful candidate will conduct machine learning research on spatio-temporal data analysis.

 

Job Posting: Data Analytics Project Manager, City of Boston
Applications accepted until filled

The Department of Innovation and Technology (DoIt) is looking for a Data Analytics Project Manager to join our growing Citywide Analytics Team.

As part of a highly-collaborative group using data to improve all aspects of city government, the Data Analytics Project Manager will develop and manage Citywide Analytics Team projects from beginning to end. Successful candidates will be able to work closely with other technical staff, project stakeholders, and external partners across City government, manage diverse technologies and projects, and develop tools and best practices that can be implemented across the organization. The Data Analytics Project Manager will also seek out opportunities for learning that will complement the team’s existing capabilities, provide expert guidance to other members of the Citywide Analytics Team, and assist in training, mentoring, and hands-on assistance as needed.

 

Job Posting: Full-Time Faculty, Harrisburg University
Applications accepted until filled.

HU seeks faculty members with expertise in the following areas:
Unstructured Data Analysis: Candidates in unstructured data analysis should have a solid background in natural language processing, computational linguistics, or psycholinguistics coming from either the field of artificial intelligence or cognitive science.  Candidates should be able to demonstrate expertise in topic areas includes peer-reviewed publications and an interview seminar.
Machine Learning: Candidates in machine learning should be familiar with the full spectrum of machine learning topics and specialization in one or more topic areas.  These topics include: artificial neural networks along with the cognitive and neuro science that supports development of intelligent agents acting in networks, genetic algorithms, and pattern recognition, as well as the basic topics in machine learning; classification, association, clustering, PCA, Bayesian Learning and Bayesian Belief Networks, etc.  Demonstration of expertise in topic areas includes peer-reviewed publications and an interview seminar.
Forecasting: Candidates in the Forecasting track should have a strong background in risk modeling and assessment, optimization, quantitative decision-making as well as modeling, simulation and gamification.  Demonstration of expertise includes peer-reviewed publications and an interview seminar.