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Postdoctoral Fellow Machine Learning Jobs in Philadelphia, PA

Tech Impact

Data Scientist - Fellowship

Wilmington, DE

$40/hr

Fellowship program runs from July 2026 to December 2026. About Us Tech Impact's Data Innovation Lab ... Propose tangible machine learning solutions, helping to build products that advance the Lab's goals.

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Postdoctoral Fellow Machine Learning information

See Philadelphia, PA salary details

$25.2K

$59.6K

$84.3K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for postdoctoral fellow machine learning in Philadelphia, PA is $59,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a postdoctoral fellow in machine learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a postdoctoral fellow in machine learning?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by postdoctoral fellows in machine learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA? For Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Postdoctoral Fellow Machine Learning jobs? Cities near Philadelphia, PA with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you

Postdoctoral Fellow: Bolding Lab

Monell Chemical Senses Center

Philadelphia, PA • On-site

$49K - $67K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Description
The Monell Chemical Senses Center was founded in 1968 as the world's first nonprofit scientific institute devoted exclusively to basic research on the chemical senses: taste, smell, and chemosensory irritation. Research at Monell contributes to a wide range of scientific and practical knowledge. With more than fifty Ph.D.-level scientists, the Center is making major progress toward understanding how the chemical senses function and their importance in everyday life. The Center is located in the University City area of Philadelphia. For more information on Monell please visit our website at www.monell.org.
The Bolding Lab at the Monell Chemical Senses Center is recruiting a Postdoctoral Fellow to carry out large-scale electrophysiological and optogenetic studies aimed at determining how odor recognition memories are embedded in cortical networks. Our goal is to discover fundamental rules and mechanisms that govern information storage and retrieval in neural systems. Our primary focus is establishing the changes in neural circuit and population dynamics that correspond to odor recognition memory. We will apply quantitative statistical approaches to relate behavioral signatures of odor recognition to activity and plasticity in olfactory circuits. We will use in vivo electrophysiology and calcium imaging to capture the activity of large neural populations during olfactory experience, and we will apply cell-type specific perturbations of activity and plasticity to distinguish how specific circuit connections contribute. Please view https://monell.org/postdoctoral/ for more information on postdoctoral training at Monell Chemical Senses Center. Please visit boldinglab.org for more lab-specific information.
Monell offers competitive and comprehensive benefits including but not limited to medical, dental and vision insurance, life and disability, paid time off, paid parental leave, tuition reimbursement, 403b matching retirement, etc.
Monell provides equal employment opportunities to all qualified candidates or employees in any aspect of employment, any personnel practice, or in any term or condition of employment without regard to a person's age, gender, pregnancy, race, color, creed, national origin, ancestry, citizenship, religion, disability, sexual orientation, gender identity or expression, marital status, genetic information, current or former membership or service obligations in the U.S. Armed Forces, or any other protected characteristic. Discriminatory practices are specifically prohibited by various federal, state and local laws.
Qualifications
  • Ph.D., M.D., or equivalent degree is required. Many applicants come from fields outside the chemical senses. A background in chemosensory research is not required.
  • Strong self-motivation, an interest in obtaining new skills, and a desire to work in a multidisciplinary environment are highly valued.
  • The ideal candidate should be highly engaged by systems neuroscience research and have a strong interest in the questions our lab is pursuing.
  • Experience with in vivo electrophysiology, calcium imaging in freely-moving animals, quantitative behavior analysis, machine learning / statistics, computational modeling, and design and operation of automated experimental systems (National Instruments, Arduino, Raspberry, etc) are valued.

Application Instructions
  • Applicants should submit the following documents to the website http://apply.interfolio.com/109650
  • Cover letter explaining your experience, research interests and career goals.
  • Curriculum vitae
  • The names and contact information of 3 references

Apply