Postdoctoral Fellow in Machine Learning and Design of Biological Systems

Cambridge, Massachusetts (US)
01 Mar 2018
End of advertisement period
29 Mar 2018
Contract Type
Fixed Term
Full Time

Postdoctoral Fellow in Machine Learning and Design of Biological Systems
School Faculty of Arts and Sciences
Division of Science
Position Description

A postdoctoral position is currently available in the laboratory of Dr. Mor Nitzan at Harvard University’s Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems.
Research will focus on both top-down and bottom-up mapping of local
interactions between relatively simple dynamic entities and their emergent
complex behavior. Such mapping, which enfolds learning, inference and design, is crucial for understanding and controlling complex biological systems, such as communicating cells that form tissues or cross-regulating genes that give rise to balanced and responsive protein expression patterns in cells.

The initial appointment period is funded for one year, but may be extended for a second year. 

Basic Qualifications

Candidates should have a PhD in computer science, physics, bioinformatics or a related field (at the time of appointment), and an interest in biology.

Additional Qualifications

Previous research experience related to biology is an advantage but not required.

Special Instructions

Please submit the following materials through the ARIES portal (http://academicpositions.harvard.edu/postings/8150)

1. Cover letter
2. Curriculum Vitae
3. A research statement and interests (2 pages maximum)
4. Names and contact information of three to five references (three letters of recommendation are required, and the application is complete only when all three letters have been submitted)

Contact Information

Dr. Mor Nitzan
Arzy Nitzan Lab
Northwest Building,
52 Oxford St., #365.30
MA 02138

Contact Email mornitzan@fas.harvard.edu

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required 3 Maximum Number of References Allowed Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents Required Documents

  1. Curriculum Vitae
  2. Cover Letter
  3. Statement of Research

Optional Documents