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Postdoctoral Math Jobs in Maryland (NOW HIRING)

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How much do postdoctoral math jobs pay per year?

As of Sep 10, 2026, the average yearly pay for postdoctoral math in Maryland is $57,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $64,500.00 per year, depending on experience, location, and employer.

What is a postdoctoral math?

A Postdoctoral Math job is a temporary research position for individuals who have recently earned a Ph.D. in mathematics or a related field. It typically involves conducting independent or collaborative research, publishing papers, and sometimes teaching courses. These positions are designed to help early-career researchers develop their expertise, expand their academic network, and prepare for permanent positions in academia, industry, or government. Postdocs usually last for one to three years and are often funded by universities, research institutes, or grants.

What are the typical responsibilities and daily activities of a postdoctoral math?

A Postdoctoral Math researcher typically conducts original research, develops mathematical models or proofs, and prepares findings for publication in peer-reviewed journals. Daily activities may include performing literature reviews, collaborating with team members, attending seminars, and mentoring graduate or undergraduate students. Postdocs often present their research at conferences, contribute to grant proposals, and participate in departmental meetings or interdisciplinary projects. This role offers valuable opportunities to deepen research expertise, expand professional networks, and prepare for faculty or advanced industry positions.

What are the key skills and qualifications needed to thrive in the postdoctoral math position, and why are they important?

To thrive as a Postdoctoral Math researcher, you need an advanced degree (Ph.D.) in mathematics or a related field, with a strong record of independent research and publication. Experience with specialized mathematical software (such as MATLAB, Mathematica, or Python libraries), advanced data analysis tools, and sometimes familiarity with grant writing systems is often required. Excellent problem-solving abilities, clear communication, and collaborative skills are crucial for success in academic or research environments. These competencies enable you to contribute innovative ideas, work effectively within research teams, and drive impactful scientific discoveries.

How much does a postdoctoral math position make?

A postdoctoral math position typically offers a salary ranging from $50,000 to $70,000 per year, depending on the institution, location, and funding. These roles often include benefits such as health insurance and may require a Ph.D. in mathematics or a related field. Salaries can vary based on experience and the specific research environment.

What are the most commonly searched types of Postdoctoral Math jobs in Maryland?

The most popular types of Postdoctoral Math jobs in Maryland are:

What are popular job titles related to Postdoctoral Math jobs in Maryland?

For Postdoctoral Math jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Math jobs in Maryland look for?

The top searched job categories for Postdoctoral Math jobs in Maryland are:

Postdoctoral Math jobs near you
Infographic showing various Postdoctoral Math job openings in Maryland as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,283 per year, or $27.5 per hour.

Postdoctoral Fellow in Medical Image Segmentation and Multiphysics Modeling for MR-Guided Brain Hype

Baltimore, MD • On-site

University of Maryland, Baltimore
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about University of Maryland, Baltimoreexternal

$48K - $66K/yr

Full-time

Posted 25 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Job Description
Position Summary
The Department of Radiation Oncology at the University of Maryland School of Medicine (UMSOM) is seeking a highly motivated postdoctoral fellow for a full-time, three-year appointment. The fellow will contribute to an NIH-funded project developing a non-invasive, MR-compatible hyperthermia system for brain tumor treatment.
The fellow's primary focus will be the development of high-resolution virtual anatomical models of the human head for patient-specific electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical geometries, and optimization of surface and volumetric meshes. The fellow will also develop and evaluate multiphysics computational models coupling microwave electromagnetic energy deposition with bioheat transfer to predict specific absorption rate and temperature distributions in the brain and surrounding tissues. The fellow will also have opportunities to shadow clinical hyperthermia treatments across deep, superficial, and interstitial modalities, providing direct exposure to quality assurance, treatment planning, treatment delivery, thermometry, and clinical workflow.
Primary Responsibilities
  • Develop anatomically detailed, high-resolution virtual models of the human head from CT and MRI datasets.
  • Perform manual, semi-automatic, and automatic segmentation of tissues relevant to electromagnetic and thermal modeling.
  • Integrate and evaluate automatic segmentation algorithms within a reproducible anatomical-modeling workflow.
  • Refine segmented geometries and optimize surface and volumetric mesh generation for anatomical accuracy, numerical stability, and computational efficiency.
  • Develop multiphysics models coupling electromagnetic field simulations, microwave power deposition, tissue perfusion, and bioheat transfer.
  • Perform mesh-convergence, sensitivity, uncertainty, and model-verification analyses.
  • Compare computational predictions with phantom, preclinical, and other experimental measurements.
  • Analyze simulation results and prepare manuscripts, conference presentations, and technical reports.
  • Collaborate with medical physicists, engineers, neurosurgeons, imaging scientists, and industry partners.
  • Shadow clinical hyperthermia treatments-including treatment planning, patient setup, thermal monitoring, and quality assurance-to understand the clinical constraints and translational requirements that should inform model development. This experience will be observational and educational rather than an independent clinical role.

Mentorship and Training
The fellow will be primarily supervised by Dr. Dario Rodrigues, Associate Professor and Lead Hyperthermia Physicist in the Department of Radiation Oncology. Dr. Rodrigues brings 18 years of research experience in computational modeling, applicator design, and experimental validation, together with more than 12 years of clinical hyperthermia experience and leadership service in major international thermal therapy societies. This combination of computational, experimental, and clinical expertise will provide the fellow with an integrated training environment in which model development is closely connected to technical feasibility and clinical translation. Close proximity to Dr. Rodrigues's office will facilitate frequent informal interactions, supplemented by at least one formal meeting each week and regular multidisciplinary project meetings.
The fellow will receive training in computational medical imaging, patient-specific multiphysics modeling, thermal therapy, translational research, scientific communication, and manuscript and grant preparation. The fellow will be encouraged and supported in presenting findings at major national and international conferences and publishing in peer-reviewed journals. The Department also offers multiple CME-accredited training opportunities, including the Hyperthermia Therapy Practice School; participation may be available subject to eligibility and departmental approval.
Qualifications
Required Qualifications
  • PhD in medical physics, biomedical engineering, electrical engineering, mechanical engineering, computer science, applied physics, applied mathematics, or a closely related field.
  • At least one year of direct research experience in medical-image segmentation and three-dimensional anatomical-model development.
  • Experience processing CT, MRI, or comparable volumetric medical-imaging datasets.
  • Demonstrated ability to conduct independent quantitative research and analyze complex computational results.
  • Strong scientific writing, communication, and organizational skills.
  • A record of peer-reviewed publications or other evidence of research productivity.

Preferred Qualifications
  • Experience with Synopsys Simpleware or comparable software for image segmentation, anatomical-model generation, and mesh creation.
  • Experience with COMSOL Multiphysics, Ansys, or comparable finite-element or multiphysics simulation software.
  • Knowledge of electromagnetic modeling, radiofrequency or microwave propagation, heat transfer, or bioheat-transfer modeling.
  • Experience with finite-element meshing, geometry cleanup, material-property assignment, and mesh-quality assessment.
  • Experience automating image-processing or simulation workflows using Python, MATLAB, C++, or similar programming languages.
  • Familiarity with machine-learning or deep-learning methods for medical-image segmentation.
  • Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation.
  • Previous experience in medical physics, thermal therapy, hyperthermia, treatment planning, or medical-device development.

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