Postdoc/Research Scientist

About the role

The Laboratory for Research in Complex Systems (LRC) is recruiting up to 3 independent, self-motivated physicists/computer-scientists/biologists based in Colombia to work as Postdocs/Research-Scientists on exploring information dynamics, origins of complexity and cognition in biological systems and biologically-inspired artificial intelligence.

Responsibilities

• Explore information dynamics, origins of complexity and cognition in biological systems and biologically-inspired artificial intelligence.
• Quantitatively model the behavior of biological systems and test these models experimentally using bacterial model systems.
• Collaborate with physicists and biologists to develop and test predictive models.

Requirements

• Ph.D. degree in the natural/quantitative sciences with emphasis on either modeling biological systems or artificial intelligence/machine learning.
• Strong computational and quantitative skills.
• Knowledge of evolutionary biology or cognitive science and of tools/platforms commonly used in artificial intelligence and bioinformatics is a plus.
• Ability to communicate and work effectively with physicists and biologists.

Qualifications

• Commensurate with experience.

Skills

• Strong computational and quantitative skills.
• Knowledge of evolutionary biology or cognitive science.
• Experience with tools/platforms commonly used in artificial intelligence and bioinformatics.
• Ability to communicate and work effectively with physicists and biologists.

Benefits

• Competitive salary.

Pay

• Salary is competitive and commensurate with experience.

Schedule

• The first year of work is to be performed in Colombia; afterwards, the option to join the LRC in the USA can be considered.

Contact Information

To Apply Please send a copy of your recent CV to the email below, with the subject line “Complexity Scientist”.

• Email address for sending CV: john.realpe AT lrc.systems

The candidate is expected to start work before June 2020. The LRC welcomes all candidates regardless of race, religion, gender, or sexual orientation, and places a very high emphasis on diversity. Women and under-represented minorities are highly encouraged to apply.