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Job ID: 156804

Brandeis Machine Learning Postdoc Fellow in Glycomaterials
Brandeis University


Date Posted Apr. 1, 2021
Title Brandeis Machine Learning Postdoc Fellow in Glycomaterials
University Brandeis University
Waltham, MA, United States
Department Computer Science
Application Deadline Open until filled
Position Start Date As soon as August 1st 2021
 
 
  • Post-Doc
  • Physics - General
    Computer/Information Sciences
    Chemistry - Analytical
    Biology - Computational
 
 

The Brandeis Computer Science has an opening for a postdoc fellow to join the NSF GlycoMIP research team (https://glycomip.org/). GlycoMIP is an NSF-funded Materials Innovation Platform ($23 million) that tackles the scientific and technological bottlenecks in glycomaterials research. This position is responsible for developing machine learning techniques for structure analysis of glycomaterials using MS/MS and NMR, and should work closely with other team members of GlycoMIP. The ideal candidate would be well knowledgeable in machine learning and deep learning, experienced in performing large-scale data analyses, proficiency in object-oriented programming (e.g., in Python), and hold a PhD in computer science, applied math, biophysics/physics, theoretical or computational chemistry, or a related field.

Start Date: As soon as August 1st 2021. Location: Brandeis University, Waltham, MA 02453, USA.

Brandeis University offers the following benefits to postdocs:

  • Paid leave programs – vacation, sick leave, holidays
  • Extended Illness Benefit – provides initial short-term disability benefits
  • Disability Benefits – provides additional disability benefits after Extended Illness Benefit is exhausted
  • Life Insurance coverage
  • Employee Assistance Program
  • COBRA Administration (continuation of health coverage after separation or certain events)
  • Workers Compensation
  • Unemployment Compensation
  • All benefits already provided (healthcare plans and social security contributions)


  • Brandeis University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and strongly encourages applications from women and minorities. Diversity in its student body, staff and faculty is important to Brandeis’ primary mission of providing a quality education. The search committee is therefore particularly interested in candidates who, through their creative endeavors, teaching and/or service experiences, will increase Brandeis’ reputation for academic excellence and better prepare its students for a pluralistic society.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Pengyu Hong
    Computer Science
    Brandeis University
    415 South St
    Waltham, MA 02453-2728
  •  
  • 781-736-2729
  • hongpeng@brandeis.edu

 

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