Opening for a Postdoc Researcher in Natural Language Processing

A fully-funded, two-year postdoc is available in the University of Vermont (UVM) Neurobotics Lab, and in close collaboration with the UVM Medical Center’s Department of Radiology, Philips HealthSuite Labs, the NIH Center for Biomedical Research Excellence on Translational Global Infectious Diseases Research (COBRE TGIR), and the Gund Institute for Environment.  The position is under the supervision of Prof. Nick Cheney in Computer Science/Complex Systems & Data Science.

Research will conducted be in the area of natural language processing via word embeddings, including application areas in health services research, ecosystems services research, the human-behavioral factors of infectious disease.

Experience in deep learning (and especially natural language processing) is desired. But applicants with strong research backgrounds in relevant fields, strong programming and communication skills, and a desire to learn more about the interface of deep learning and healthcare will be considered. A PhD is desired, but non-postdoctoral research scientist positions may also be available for qualified individuals with significant non-academic experience conducting independent research.  The position is available immediately, and applications will be considered on a rolling basis. The position includes full benefits and a competitive salary. Virtual work accommodations will be made, as necessary, in response to the COVID-19 pandemic.

To apply, please fill out this application form.
For more information please visit uvm.edu/neurobotics/join-us, or contact ncheney@uvm.edu.

 


 

CLOSED! — Openings for Postdoc and PhD Students in
Machine Learning for Artificial General Intelligence:

Postdoctoral and PhD student positions are available in the Neurobotics Lab in the Computer Science Department at the University of Vermont – and in close collaboration with the Jeff Clune at the University of Wyoming/UberAI Labs. The research will be in the area of meta-learning for artificial general intelligence – applied to a variety of problems, especially those in deep reinforcement learning. Responsibilities include helping to design bio-inspired algorithms that enable agents to learn a variety of new tasks without losing the ability to perform previous ones (i.e. avoiding “catastrophic forgetting”) and testing these method on simulated and/or physical robots.

This position is available immediately, and applicants will be considered on a rolling basis – though some flexibility on start date is possible. Experience in deep learning and/or reinforcement learning is desired. But applicants with strong research backgrounds in relevant fields (e.g. statistics, math, computer science), strong programming and communication skills, and a demonstrated desire to learn more about machine learning and neural networks will also be considered.

Please follow the application instructions below and thanks for your interest in working with us!

 


 

Fellowship Opportunities for PhD Students and Postdocs:

The UVM Neurobotics Lab, as part of the Vermont Complex Systems Center, has fellowships available from our industrial partners and NSF/NIH training programs.  The topic of these positions varies from a specific focus on Algorithmic Fairness or Health Analytics for some openings, to broader focuses in Neurobiology or Quantitative & Evolutionary Biology for others — and apply to either PhD students or postdocs.  We are always in the process of adding more research partners and training programs, so please check back often!

For further information and application instructions, please see the fellowships opportunities webpage from the Vermont Complex Systems Center.

 


 

Openings for PhD Students in Machine Learning:

We frequently have open opportunities for exceptional students who wish to pursue a PhD in Computer Science or Complex Systems and Data Science.

While projects across a wide variety of domains are typically available, we’ve found it particularly fruitful to use machine learning to accelerate and enable scientific discoveries along UVM’s existing strengths such as environmental science, agriculture, and medicine.  This work may be through direct applications of machine learning in those domains, or through advancements in foundational questions in deep learning, especially around meta-learning.  Applicants should have a strong foundation in machine learning algorithms, data processing and visualization experience, and a passion for social good.

To apply to our lab, please email me with your CV, transcripts, GRE scores, and contact information for 3 letters of reference.  To greatly increase your chances of acceptance, we suggested also including a pdf copy of a representative publication, a one-page research proposal for your dream project in our lab (establishing your fit with our lab’s work, as well as your familiarity with the field at large), and additional materials that demonstrate your outstanding verbal communication skills (e.g. YouTube link to a recorded academic talk or to a video of you explaining your research interests and background) and programming skills (e.g. link to a Github repository).

Following acceptance from the lab, prospective students must also formally apply to the UVM Graduate College.

 


The University of Vermont is an Equal Opportunity/ Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any category legally protected by federal or state law. Applicants are welcome from any region, and there are no associated citizenship requirements.

 

About the University of Vermont:

 

The University of Vermont (UVM), established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in the College of Engineering and Mathematical Sciences, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center, the Advanced Genome Technologies Core, and the UVM Medical Center.

The University is located in beautiful Burlington, Vermont, about 2 hours from Montreal, 3 hours from Boston, and 6 hours from New York City. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains.  The city is a world-renowned tourist destination, featuring outstanding outdoor sports and activities such as hiking, biking, kayaking, and skiing — while also being home to top-notch restaurants, farms, breweries, and artists.