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What are the key skills and qualifications needed to thrive as a Remote Postdoctoral Math researcher, and why are they important?

A Remote Postdoctoral Math researcher requires a Ph.D. in mathematics or a closely related field, with strong analytical, problem-solving, and research skills. Familiarity with mathematical software such as MATLAB, Mathematica, or Python, and experience with collaborative platforms for remote work are typically necessary. Outstanding written and verbal communication, self-motivation, and time management skills help one excel in a remote research environment. These abilities ensure rigorous research output, effective remote collaboration, and successful contribution to academic or industry projects.

What are some common challenges faced by remote postdoctoral math researchers, and how can they be addressed?

Remote postdoctoral math researchers often encounter challenges such as limited in-person collaboration, potential feelings of isolation, and difficulty accessing institutional resources. To address these, many institutions support regular virtual meetings, provide access to online seminar series, and encourage participation in collaborative research platforms. Building a strong virtual network with mentors and peers, setting up structured schedules, and making use of institutional remote-access tools can greatly enhance productivity and maintain a sense of connection within the mathematical research community.

What are Remote Postdoctoral Math positions?

Remote Postdoctoral Math positions are research roles in mathematics that allow scholars who have recently completed their PhDs to work from a location outside of a traditional academic or research institution, such as from home. These positions typically involve conducting independent or collaborative research, publishing papers, and sometimes teaching or mentoring, all via online platforms. The remote aspect offers greater flexibility and the ability to collaborate with international researchers without relocating. Such roles are offered by universities, research institutes, and sometimes private organizations or industry labs seeking mathematical expertise.

What is the difference between Remote Postdoctoral Math vs Postdoctoral Research Scientist?

AspectRemote Postdoctoral MathPostdoctoral Research Scientist
Required CredentialsPhD in Mathematics or related fieldPhD in relevant scientific discipline
Work EnvironmentPrimarily remote, independent researchResearch labs, universities, or institutions
Employer & Industry UsageAcademic institutions, research centers, tech companiesUniversities, government agencies, research organizations
Common Search & Comparison IntentUnderstanding remote research roles in mathExploring postdoc opportunities in scientific research

Remote Postdoctoral Math positions focus on advanced mathematical research conducted remotely, often emphasizing theoretical work. Postdoctoral Research Scientist roles may involve broader scientific research, including experimental or applied work, often in a lab or institutional setting. Both require a PhD and are aimed at early-career researchers, but their work environments and focus areas differ.

What are popular job titles related to Remote Postdoctoral Math jobs in Massachusetts? For Remote Postdoctoral Math jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Postdoctoral Math jobs in Massachusetts look for? The top searched job categories for Remote Postdoctoral Math jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Postdoctoral Math jobs? Cities in Massachusetts with the most Remote Postdoctoral Math job openings:
Remote Postdoctoral Math jobs near you
Staff - Postdoctoral Research Fellow - AI for Science

Staff - Postdoctoral Research Fellow - AI for Science

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site, Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

MERL is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join our research team. This position offers a distinctive opportunity for early-career researchers to pursue independent, curiosity-driven research at the intersection of artificial intelligence and scientific discovery, within a collaborative industrial research lab that values academic-style innovation and publication.

The successful candidate will have the freedom to define and lead a research agenda aligned with MERL’s strategic interests in applying AI to challenging problems arising in industrial and scientific domains. This includes advancing foundational methods while demonstrating impact in real-world systems.

We are particularly interested in candidates working at the intersection of AI and scientific domains, including but not limited to:

AI for Mathematics and Scientific Computing

  • AI-driven methods for optimization, numerical analysis, and large-scale scientific computing

  • Learning-based approaches to modeling and analyzing complex dynamical systems

  • Integration of machine learning with classical algorithms for improved efficiency and robustness

  • Hypothesis formation, sequential experiment design, analysis and deductive discovery.

  • Theorem development and proving, and algorithm discovery.

AI for Physical Sciences

  • Physics-constrained or physics-informed AI models for understanding and designing material properties (e.g., optical, electrical, thermal)

  • Data-driven and hybrid approaches for multi-scale modeling and simulation

  • Differentiable simulators

  • Discovery of emergent laws and governing equations in complex physical systems

  • Foundational models for thermodynamics and electro-magnetics

AI for Earth and Environmental Sciences

  • Methods for multi-scale environmental and geophysical systems

  • Remote sensing and spatio-temporal modeling using satellite or sensor data

  • Modeling, prediction, and decision-making for environmental and climate-related applications

Responsibilities for this position include:

  • Define and pursue an independent research program in AI for Science, aligned with MERL’s research directions
  • Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
  • Collaborate with MERL researchers across disciplines to connect fundamental advances with industrial applications
  • Publish research results in top-tier conferences and journals
  • Contribute to the broader research community through open-source software, datasets, or other artifacts where appropriate

Qualifications for this position are:

  • PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field (or expected completion before start date)
  • Strong background in machine learning, artificial intelligence, and computational science
  • Experience in applying AI to scientific or engineering domains, particularly those domains described above
  • Demonstrated ability to conduct independent research, as evidenced by a strong publication record in relevant venues
  • Excellent communication skills and ability to collaborate in a multidisciplinary research environment

The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience.

In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment.

Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.