Heat Transfer Machine Learning Postdoc information
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$13.94 - $15.54
9% of jobs
$15.54 - $17.13
5% of jobs
$18.18 is the 25th percentile. Wages below this are outliers.
$17.13 - $18.73
17% of jobs
$18.73 - $20.32
12% of jobs
The median wage is $21.44 / hr.
$20.32 - $21.92
11% of jobs
$21.92 - $23.51
6% of jobs
$23.51 - $25.11
4% of jobs
$25.11 - $26.70
4% of jobs
$27.65 is the 75th percentile. Wages above this are outliers.
$26.70 - $28.30
12% of jobs
$28.30 - $29.90
17% of jobs
$29.90 - $31.49
3% of jobs
How much do heat transfer machine learning postdoc jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for heat transfer machine learning postdoc in the United States is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $28.61 per hour, depending on experience, location, and employer.
A Heat Transfer Machine Learning Postdoc is a researcher who applies machine learning techniques to problems in heat transfer, such as predicting temperature distributions, optimizing thermal systems, or discovering new materials for heat management. Their work often involves developing computational models, analyzing complex datasets, and collaborating with engineers or scientists. The goal is to combine expertise in physics-based heat transfer with advanced data-driven approaches to improve efficiency and innovation in thermal sciences.
A Heat Transfer Machine Learning Postdoc often collaborates closely with both computational scientists and experimental engineers. This interdisciplinary environment enables the postdoc to integrate machine learning models with real-world thermal system data, ensuring that theoretical findings are validated and applicable. Regular interactions may include joint meetings, co-developing research plans, and troubleshooting experiments to refine predictive models. Such collaboration not only accelerates research progress but also broadens the postdoc’s skill set and fosters professional relationships across departments.
A Heat Transfer Machine Learning Postdoc requires deep knowledge of thermodynamics, heat transfer, and advanced machine learning methods, usually supported by a Ph.D. in mechanical engineering, applied physics, or a related field. Familiarity with programming languages like Python, simulation tools (e.g., COMSOL, ANSYS), and machine learning frameworks (such as TensorFlow or PyTorch) is essential. Strong analytical thinking, problem-solving abilities, and effective scientific communication distinguish top performers in this role. These skills are crucial for developing innovative solutions to complex heat transfer problems and advancing research at the intersection of thermal sciences and artificial intelligence.
What are popular job titles related to Heat Transfer Machine Learning Postdoc jobs?
For Heat Transfer Machine Learning Postdoc jobs, the most frequently searched job titles are: