Connectionists: Postdoctoral Position In Machine learning: Lifelong Streaming Anomaly Detection

bei.xiao at gmail.com bei.xiao at gmail.com
Tue Nov 17 14:26:10 EST 2020


Posting this for a colleague. Please do not reply to this email but contact
the Prof. Japkowicz at nathalie.japkowicz at american.edu

*Postdoctoral Position Machine Learning: Lifelong Streaming Anomaly
Detection *

Department of Computer Science American University Supervisors: Nathalie
Japkowicz (CS), Roberto Corizzo (CS), Michael Baron (Statistics)

Description of the Work: This work will take place in the context of
DARPA’s L2M program
https://www.darpa.mil/program/lifelong-learning-machines


The successful candidate will expand American University team’s Lifelong
Learning model.

This work will be carried on in collaboration with Computer Science *professors
Nathalie Japkowicz  <(https://www.american.edu/cas/faculty/japkowic.cfm)>*and
Roberto Corizzo <https://www.american.edu/cas/faculty/rcorizzo.cfm> and
Statistics professor Michael Baron.
<https://www.american.edu/cas/faculty/baron.cfm> The work will combine deep
learning methods with other machine learning, statistical and AI
techniques. The resulting system will be integrated to the work of other
teams in the L2M program.

Requirements: The ideal candidate will hold a Ph.D. in Computer Science,
Statistics, Applied Mathematics, Data Science, Computer Engineering or
other related areas and will have substantial experience in Deep Learning.
Experience in Deep Learning is necessary while experience in other machine
learning areas such as reinforcement learning, unsupervised or one-class
learning, outlier detection, time-series analysis, and data stream learning
techniques are an added bonus. The candidate will have a record of
publications in well-recognized conference and/or journal venues.

The principal duties to be carried out include:  Integration of the
current American University (AU) team’s Lifelong Learning approach with SRI
International’s approach to the Starcraft application.
 Helping in the design and implementation of the new components of AU
team’s approach.
 Adapting the approach to the various domains of application considered by
the team.
 Thoroughly evaluating the performance of the system on these domains.
  Co-supervising Senior or Master’s students’ implementations (with
testing and refinement) of sub-components or specific applications of the
project.
 Preparing conference and journal manuscripts in collaboration with Drs.
Japkowicz, Corizzo, and Baron and the students involved in the projects.
 Assisting in the preparation of additional grant proposals to continue
the project or develop new ideas emanating from the project.

Location The successful candidate will be affiliated with the Department of
Computer Science at American University in Washington, DC. The candidate
will be working with Professors Nathalie Japkowicz, Roberto Corizzo, and
other students affiliated with the lab. The candidate will also be working
with Professor Michael Baron in the Statistics department.

Length The appointment is a 12-month term position (renewable for 12 months
pending successful completion of the work and funding) and will commence on
January 4, 2021.

Submitting an Application Salary is competitive. Review of applications
will begin immediately and will continue until December 1 st, 2020 or until
the position is filled, subject to ongoing budgetary approval.

*Please submit applications via: *
*http://apply.interfolio.com/79810 <http://apply.interfolio.com/79810>. *

Include a letter of application, curriculum vita, three letters of
recommendation, and copies of recent published papers or working papers.

Please contact Nathalie Japkowicz, at nathalie.japkowicz at american.edu if
you have any questions.

About the University American University is a private institution within
easy reach of the many centers of government, business, research, and the
arts located within the nation’s capital. For more information about
American University, visit www.american.edu. American University is an
equal opportunity, affirmative action institution that operates in
compliance with applicable laws and regulations. The university does not
discriminate on the basis of race, color, national origin, religion, sex
(including pregnancy), age, sexual orientation, disability, marital status,
personal appearance, gender identity and expression, family
responsibilities, political affiliation, source of income, veteran status,
an individual’s genetic information or any other bases under federal or
local laws (collectively “Protected Bases”) in its programs and activities.
American University is a tobacco and smoke free campus.

-- 
Bei Xiao, PhD
Assistant Professor
Computer Science & Center for Behavioral Neuroscience
American University, Washington DC

Homepage: https://sites.google.com/site/beixiao/
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