Scientific Computing Division, Fermilab

1787 10887
Position ID:FNAL-Scientific Computing Division-RASCD [#10887, 002064]
Position Title: RA Machine Learning
Position Type:Postdoctoral
Position Location:Batavia, Illinois 60510, United States [map]
Subject Area: Computer Science
Appl Deadline:2018/06/01 (posted 2018/02/16, listed until 2018/06/01)
Position Description:    

Open Date: 04/12/2018

Close Date: 06/01/2018


Join the Machine Intelligence Group (MIG) at Fermi National Accelerator Laboratory!

We invite applications for a Postdoctoral Research Associate position in the areas of data science and machine intelligence. In this role, you will focus on the application and development of advanced algorithms to cutting-edge physics problems, with a focus on cosmology, astrophysics, with opportunities for high-performance computing.

Our group aims to accelerate science through the application and development of statistical models and advanced algorithms, such as machine learning, deep learning, and artificial intelligence. We are a collaboration-oriented team of interdisciplinary researchers, spanning cosmology, particle physics, statistics, and computing. The MIG takes care in the career development of every team member.  You will be encouraged to design a research program towards publications and a portfolio of work that is aligned with future career goals and your preferred field(s) of research. You will work with a network of mentors to support these efforts. In addition, we will encourage and facilitate collaboration with scientists at universities and laboratories in the Chicagoland area and beyond.

Positions are for a period of up to three (3) years, with the potential for extension considered on a yearly basis thereafter.

At Fermilab, we abide by all environment, safety, and health regulations. We respect, understand, and value differences that embody principles of diversity, and inclusion. You will be joining a team with a deeply held commitment to developing and promoting a culturally inclusive community. We strongly encourage applications from members of groups that are underrepresented in science and technology.

Qualifications for this work include:

  • Demonstrated computational skills and familiarity with the formal aspects of machine learning.

  • Ph.D. in computer science and engineering, applied and computational mathematics, applied statistics, particle physics, astrophysics, or a relevant discipline by the time of the appointment.

  • A clear record of scientific accomplishments and publications, and other products of research.

  • Demonstrated oral and written communication skills.

Beneficial, but not essential work experience:

  • Experience with the application of machine learning to science problems.

  • Experience in high-performance computing (e.g., distributed GPU programming).

Essential work activities include:

  • Creative problem-solving

  • Working in both independent and collaborative environments

  • Computer programming and data analysis

  • Travel by automobile and/or commercial aircraft both domestically and internationally

  • Presentation of work to colleagues and at conferences

  • Education and training of scientists in machine learning and controls

Application Instructions:

Interested candidates should submit, via Academic Jobs Online (AJO):

  1. cover letter
  2. curriculum vitae
  3. research statement
  4. publication list
  5. three reference letters (to be submitted by the reference writers at the AJO site).

https://academicjobsonline.org/ajo/jobs/10887

For general information about this position, please contact Brian Nord at nord@fnal.gov.

Diverse people. Diverse jobs. Great science. Fermilab is America’s particle physics and accelerator laboratory.

Fermilab is an Equal Opportunity Employer. Minorities/Women/Disabled/Veterans are encouraged to apply.


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:
email
 
Fermilab MS 116
P.O. Box 500
Batavia, IL 60510

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