ZipRecruiter

Log In

1

Evolutionary Computing Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsEvolutionary Computing Jobs

Evolutionary Computing information

See salary details

$11K

$57.4K

$95.5K

How much do evolutionary computing jobs pay per year?

As of Jun 26, 2026, the average yearly pay for evolutionary computing in the United States is $57,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when implementing evolutionary computing algorithms in real-world projects?

One of the main challenges in applying evolutionary computing algorithms is balancing computational cost with solution quality, as these algorithms can be resource-intensive and require careful parameter tuning. Additionally, translating theoretical models into scalable, real-world applications often involves customizing operators and fitness functions to suit specific domains. Collaboration with domain experts is crucial to accurately define objectives and constraints, and ongoing communication with software engineers ensures efficient integration into existing systems.

What are the key skills and qualifications needed to thrive as an Evolutionary Computing Specialist, and why are they important?

To thrive as an Evolutionary Computing Specialist, you need a solid background in computer science, mathematics, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and optimization libraries is typically required. Strong analytical thinking, problem-solving abilities, and creativity are crucial soft skills that help in developing innovative solutions. These skills enable specialists to design and implement effective evolutionary algorithms that solve complex computational problems across various domains.

What is the difference between Evolutionary Computing vs Data Scientist?

AspectEvolutionary ComputingData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI or machine learningDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, tech companies, consulting firms
Industry UsageOptimization problems, evolutionary algorithms researchData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve advanced computing techniques, Evolutionary Computing focuses on algorithms inspired by natural selection for optimization, whereas Data Scientists analyze data to extract insights and build predictive models. They often collaborate but serve different primary functions within tech and research industries.

What is evolutionary computing?

Evolutionary computing is a branch of artificial intelligence that uses algorithms inspired by the process of natural selection to solve complex optimization and search problems. These algorithms, such as genetic algorithms, evolve solutions over time by mimicking biological mechanisms like mutation, crossover, and selection. Evolutionary computing is used in various fields, including engineering, economics, and robotics, to find solutions that might be difficult to obtain through traditional methods. It is especially useful for problems where the search space is vast and not easily navigable by conventional algorithms.
More about Evolutionary Computing jobs
What cities are hiring for Evolutionary Computing jobs? Cities with the most Evolutionary Computing job openings:
What states have the most Evolutionary Computing jobs? States with the most job openings for Evolutionary Computing jobs include:
What job categories do people searching Evolutionary Computing jobs look for? The top searched job categories for Evolutionary Computing jobs are:
Evolutionary Computing jobs near you
Infographic showing various Evolutionary Computing job openings in the United States as of June 2026, with employment types broken down into 30% Full Time, and 70% Part Time. Highlights an 31% Physical, 2% Hybrid, and 67% Remote job distribution, with an average salary of $57,380 per year, or $27.6 per hour.
Department of Statistics RESEARCH FELLOW

Department of Statistics RESEARCH FELLOW

University of Michigan

Ann Arbor, MI • On-site

$65K - $80K/yr

Full-time

Posted 15 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

131st of 539 rated colleges and universities

Job description

How to Apply
To apply, please submit the following materials via email to: [email protected]
  • A cover letter summarizing research experience and interests
  • Curriculum vitae, including publications and/or preprints
  • Contact information for three references

Applications will be reviewed on a rolling basis until the position is filled.
Job Summary
The Terhorst Lab in the Department of Statistics at the University of Michigan is recruiting a postdoctoral research fellow in statistical genetics and computational genomics. The position is part of a collaborative project with the University of Edinburgh and the University of Oxford focused on developing scalable methods for complex trait analysis using ancestral recombination graphs (ARGs).
Research areas include statistical/quantitative/population genetics, genealogical inference, machine learning, genetic prediction, genome-wide association studies, scalable linear mixed models, and efficient algorithms for large-scale genomic data analysis.
This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability of work, and satisfactory performance.
Responsibilities*
  • Develop novel statistical and computational methods for ARG-based quantitative genetics
  • Analyze large-scale genetic and phenotypic datasets
  • Implement scalable software and algorithms for genomic inference
  • Collaborate with researchers across statistics, genetics, and computational biology
  • Contribute to manuscripts, presentations, and open-source software development
  • Participate in interdisciplinary collaborations related to predictive breeding and genome editing
  • Travel to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford

Required Qualifications*
  • PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required
  • Proof of degree completion must be in hand on or before the start date
  • Strong programming and computational skills
  • Experience with statistical modeling, machine learning, or large-scale data analysis

Desired Qualifications*
  • Experience with population genetics or statistical genetics
  • Familiarity with Bayesian methods, probabilistic modeling, or graphical models
  • Experience with scientific computing in Python, JAX, Torch, Julia, C++, or related languages
  • Experience with high-performance computing or scalable algorithms
  • Interest in interdisciplinary research spanning genomics and evolutionary biology

Modes of Work
The position is on-site in Ann Arbor, Michigan.
Additional Information
Salary and Benefits: Salary will be commensurate with experience and is expected to be in the range of $65,000 - $80,000 per year, plus benefits and a $3,000 relocation assistance bonus.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Contact Information
Please direct questions about the position to Jonathan Terhorst at [email protected] .
Please direct questions about how to apply to: [email protected]
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
277543
Working Title
Department of Statistics RESEARCH FELLOW
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Of Lsa
Department
LSA Statistics
Posting Begin/End Date
5/12/2026 - 7/11/2026
Salary
$65,000.00 - $80,000.00
Career Interest
Research Fellows

What University Of Michigan employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Michigan logo

About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

Social media

FacebookTwitter

View All University of Michigan Jobs

Apply