University of Colorado Boulder
Postdoctoral Position in Information Theory
University of Colorado Boulder, Boulder, Colorado, United States, 80301
Postdoctoral Position in Information Theory
Join to apply for the
Postdoctoral Position in Information Theory
role at
University of Colorado Boulder
Overview The Peleg Lab is seeking a creative and biologically curious postdoctoral researcher to join an interdisciplinary initiative on the rhythms and communication signals of living organisms. This project spans a wide range of systems, from deep-sea mussels and bioluminescent fireflies to frogs, crickets, birds, and beyond. Further information on the Peleg Lab can be found here: https://www.peleglab.com.
Our core goal is to understand how biological collectives coordinate behavior across time and space, especially through rhythmic and discrete signals. We take an information-theoretic view of these codes, asking what can be encoded, transmitted, and decoded under physical and sensory constraints, and how efficient, robust, and distinctive different codes can be. This position centers on developing mathematical and computational models (for example, dynamical systems and agent-based models) and running extensive parameter sweeps to explore hypotheses grounded in real experimental data. You will help define quantitative measures for discrete temporal codes, link them to simple interaction rules and collective dynamics, and test predictions on datasets from the lab and collaborators.
The Peleg Lab is located within the BioFrontiers Institute and seeks to understand the behavior of disordered living systems by merging tools from physics, biology, engineering, and computer science, with a focus on honeybee communication (mechanical and chemical). Further information on the BioFrontiers Institute can be found here: https://www.colorado.edu/biofrontiers/
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Responsibilities
Develop and apply measures of efficiency, distinctiveness, and robustness for discrete temporal codes under noise and resource limits.
Build minimal models that link code structure to interaction rules and collective dynamics, then validate on existing datasets.
Maintain reproducible analysis pipelines, collaborate with experimental partners, and lead publications.
What We Can Offer
$62,232 - $67,824 per year.
Relocation assistance is available per department guidelines.
Benefits At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements Be ambitious. Be groundbreaking. Be Boulder.
What We Require
PhD in a relevant field (e.g., physics, computer science, electrical engineering, applied math, computational biology).
What You Will Need
Strong foundations in information theory, probability, and time-series analysis.
Fluency in programming and reproducible workflows.
True passion for biological systems and animal behaviors spanning from the deep sea to terrestrial.
Ability to run and analyze large parameter sweeps on high-performance computing clusters.
Capacity to synthesize findings across both experimental data and simulation results to identify patterns, trends, and governing principles.
What We Would Like You To Have
Interest in interdisciplinary research spanning communication, collective behavior, and evolutionary biology.
Strong problem-solving skills, adaptability, and enthusiasm for working with complex, imperfect, real-world datasets.
Willingness to collaborate with an interdisciplinary team of ecologists, marine biologists, and computational scientists.
Special Instructions To Apply, Please Submit The Following Materials
Resume
A cover letter
(Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.
Review of applications will begin immediately and will continue until
November 11, 2025 .
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Seniority level
Internship
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Higher Education
Referrals increase your chances of interviewing at University of Colorado Boulder by 2x
Sign in to set job alerts for “Postdoctoral Researcher” roles. Research Development Laboratory Technician
Boulder, CO $74,000.00-$97,000.00 4 weeks ago
Lafayette, CO $54,000.00-$58,000.00 3 weeks ago
Boulder, CO $54,200.00-$63,000.00 1 day ago
TEMPORARY Invasive Species Lab Technician – 6060 Broadway, Denver, CO.
Lakewood, CO $66,800.00-$83,500.00 1 week ago
Denver, CO $61,008.00-$74,088.00 3 months ago
Louisville, CO $69,000.00-$179,300.00 1 day ago
Special Agent: STEM-Physical Sciences Background Denver, CO $55,000.00-$70,000.00 1 month ago
Boulder, CO $84,000.00-$115,500.00 1 week ago
TEMPORARY Aquatic Invasive Species Monitoring Technician– 6060 Broadway, Denver, CO. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Postdoctoral Position in Information Theory
role at
University of Colorado Boulder
Overview The Peleg Lab is seeking a creative and biologically curious postdoctoral researcher to join an interdisciplinary initiative on the rhythms and communication signals of living organisms. This project spans a wide range of systems, from deep-sea mussels and bioluminescent fireflies to frogs, crickets, birds, and beyond. Further information on the Peleg Lab can be found here: https://www.peleglab.com.
Our core goal is to understand how biological collectives coordinate behavior across time and space, especially through rhythmic and discrete signals. We take an information-theoretic view of these codes, asking what can be encoded, transmitted, and decoded under physical and sensory constraints, and how efficient, robust, and distinctive different codes can be. This position centers on developing mathematical and computational models (for example, dynamical systems and agent-based models) and running extensive parameter sweeps to explore hypotheses grounded in real experimental data. You will help define quantitative measures for discrete temporal codes, link them to simple interaction rules and collective dynamics, and test predictions on datasets from the lab and collaborators.
The Peleg Lab is located within the BioFrontiers Institute and seeks to understand the behavior of disordered living systems by merging tools from physics, biology, engineering, and computer science, with a focus on honeybee communication (mechanical and chemical). Further information on the BioFrontiers Institute can be found here: https://www.colorado.edu/biofrontiers/
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Responsibilities
Develop and apply measures of efficiency, distinctiveness, and robustness for discrete temporal codes under noise and resource limits.
Build minimal models that link code structure to interaction rules and collective dynamics, then validate on existing datasets.
Maintain reproducible analysis pipelines, collaborate with experimental partners, and lead publications.
What We Can Offer
$62,232 - $67,824 per year.
Relocation assistance is available per department guidelines.
Benefits At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements Be ambitious. Be groundbreaking. Be Boulder.
What We Require
PhD in a relevant field (e.g., physics, computer science, electrical engineering, applied math, computational biology).
What You Will Need
Strong foundations in information theory, probability, and time-series analysis.
Fluency in programming and reproducible workflows.
True passion for biological systems and animal behaviors spanning from the deep sea to terrestrial.
Ability to run and analyze large parameter sweeps on high-performance computing clusters.
Capacity to synthesize findings across both experimental data and simulation results to identify patterns, trends, and governing principles.
What We Would Like You To Have
Interest in interdisciplinary research spanning communication, collective behavior, and evolutionary biology.
Strong problem-solving skills, adaptability, and enthusiasm for working with complex, imperfect, real-world datasets.
Willingness to collaborate with an interdisciplinary team of ecologists, marine biologists, and computational scientists.
Special Instructions To Apply, Please Submit The Following Materials
Resume
A cover letter
(Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.
Review of applications will begin immediately and will continue until
November 11, 2025 .
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Seniority level
Internship
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Higher Education
Referrals increase your chances of interviewing at University of Colorado Boulder by 2x
Sign in to set job alerts for “Postdoctoral Researcher” roles. Research Development Laboratory Technician
Boulder, CO $74,000.00-$97,000.00 4 weeks ago
Lafayette, CO $54,000.00-$58,000.00 3 weeks ago
Boulder, CO $54,200.00-$63,000.00 1 day ago
TEMPORARY Invasive Species Lab Technician – 6060 Broadway, Denver, CO.
Lakewood, CO $66,800.00-$83,500.00 1 week ago
Denver, CO $61,008.00-$74,088.00 3 months ago
Louisville, CO $69,000.00-$179,300.00 1 day ago
Special Agent: STEM-Physical Sciences Background Denver, CO $55,000.00-$70,000.00 1 month ago
Boulder, CO $84,000.00-$115,500.00 1 week ago
TEMPORARY Aquatic Invasive Species Monitoring Technician– 6060 Broadway, Denver, CO. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr