Boston College, Computer Science

2780 16888
Position ID:Boston College-Computer Science-POSTDOC [#16888]
Position Title: Postdoctoral possition in Boston, Massachusett, USA
Position Type:Postdoctoral
Position Location:Chestnut Hill, Massachusetts 02467, United States [map]
Subject Areas: Statistics / Statistics
Bioinformatics / Computer Science
Biostatistics / network biology
Applied Mathematics / Machine Learning
Data Science / Large Scale Optimization (more...)
Appl Deadline:2020/10/31 11:59PMhelp popup (posted 2020/09/16, listed until 2021/02/13)
Position Description:    

*** The account for Computer Science, Boston College has expired and new applications are no longer being accepted. ***

Prof. José Bento is looking for a postdoctoral researcher to join his group at Boston College.

The ideal applicant should

• have a strong background in mathematics and statistics

• be an expert in at least one programming language

• have a strong publication record

• be proficient in English and work well in a team environment

The position is not restricted to researchers from the field of Computer Science. Researchers from Physics, Applied Math, and Engineering, and biology are strongly encouraged to apply as well.

The researcher will have considerable freedom to choose his/her research topic within the following topics.

• Develop machine learning algorithms to help understand the emergence of bacterial resistance from the interaction of host, immune system, and antibiotic. Apart from developing new algorithms, he/she will also interact with biologists to test them on real data. Preferably he/she will develop these algorithms in conjunction with theoretical guarantees under relevant idealized scenarios.

• Develop general purpose large scale distributed optimization algorithms that will expand the applicability of several existing or novel machine learning algorithms. Study their convergence properties under synchronous and asynchronous message passing settings. Implement and test these algorithms over GPU, multiple-cores and/or multiple machines.

• Develop algorithms to compute similarity measures between complex objects such has graphs and trajectories. These algorithms should scale, be able to deal with very large inputs and be robust. Study their mathematical properties. Apply these measures to solve problems in computer vision, biology, and social network analysis.

• Develop, study and test new notions of robustness for artificial neural networks. Particular focus on

To apply, upload (i) a CV, (ii) contact for providers of reference letters, and (iii) a short research statement to

For inquires, please contact

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
140 Commonwealth Avenue, Chestnut Hill, MA 02467

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