Human Resources

Research Scientist I – Applied Mathematician/Statistician

Apply now Job No: 24044
Department: Michigan Tech Rsrch Institute(MTRI)
Work Type: Staff - Full Time
Location: Michigan Tech Research Institute (Ann Arbor, MI)
Full Time / Part Time: Full Time
Categories: Engineering, Research

Department: Michigan Technological Research Institute (MTRI)

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.  

If you require any auxiliary aids, services, or other accommodations to apply for employment, or for an interview, at Michigan Technological University, please notify the Human Resources office at 906-487-2280 or

Job Description Summary

MTRI ( is seeking highly motivated, intellectually curious, professional statisticians, mathematicians, and engineers interested in developing new tools and applications of statistical signal processing, sequential planning, and optimization. Specifically, this position involves supporting customer-driven research needs from both government and commercial sponsors. The role involves collaboration with senior engineers and scientists to research, design, and evaluate new cutting-edge tools for application to remote sensing. A successful candidate will have a solid background in pure and applied mathematics and/or statistics and a desire to apply theory from these fields to a broad range of remote sensing and sensor modalities. In addition, an ideal candidate would have prior experience writing scientific software to investigate the efficacy of the proposed techniques.

Essential Duties & Responsibilities (other duties may be assigned)

  • Evaluate and apply theoretically rigorous results to the development and evaluation of algorithms supporting engineering, signal processing, and machine learning applications based statistical methods.
  • Contribute technical expertise to symposia, journal articles, and technical reports.
  • Prepare and deliver reports or presentations of research projects/analysis results to project sponsors as appropriate.
  • Contribute to the generation of proposals and external funding.
  • Apply safety-related knowledge, skills, and practices to everyday work.
  • Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives.

Required Education, Certifications, Licensures (minimum requirements)

  • Ph.D. degree in statistics, mathematics, engineering, or a similar field, and 2 years of related research experience post-degree.
    MS degree in statistics, mathematics, engineering, or a similar related field, and 5 years related research experience post degree.

Required Experience (minimum requirements)

  • Strong analytical skills and use of mathematical software
  • Strong programming skills with experience in one or more of the following programming languages/software: Matlab, Python, Mathematica or equivalent.
  • Fundamental understanding of relevant mathematical concepts, such as Fourier analysis, point estimation, hypothesis testing, and high-dimensional optimization.
  • Knowledge of techniques for bounding estimation certainty/ classification accuracy and learning/communication rates using information-theoretic bounds.
  • Demonstrated organizational ability and attention to detail

Desirable Education and/or Experience

  • Basic knowledge of remote imaging technologies: EO/IR image formation, RF remote sensing, SAR imaging, etc.
  • Interest in the theoretical underpinnings of learning algorithms\
  • Rigorous graduate-level coursework in PDEs, complex analysis, functional analysis, differential geometry, or probability\Experience working with multidisciplinary teams to perform research, solve technical problems, and/or develop software tools.

Required Knowledge, Skills, and/or Abilities (minimum requirements)

  • Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.
  • Excellent written/oral communication skills.
  • Demonstrated organizational ability and attention to detail.
  • Ability to take direction but work without continuous oversight.
  • Ability to exercise discretion and independent judgment with respect to significant matters related to job duties.
  • Ability to work in a collaborative research environment, including reading and disseminating advances in research literature and brainstorming innovative approaches to technical challenges.
  • Demonstrated commitment to contribute to a safe work environment.

Desirable Knowledge, Skills, and/or Abilities

  • Ability to contribute to competitive grant proposals.
  • Ability to clearly communicate complex ideas through symposia, methods documentation, reports, and publications
  • Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints. 

Work Environment and/or Physical Demands


Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

Required University Training:

  • Employee Safety Overview
  • Anti-Harassment, Discrimination, Retaliation Training
  • Annual Data Security Training
  • Annual Title IX Training

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:

The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. Visa sponsorship is unavailable at this time. This is not an E-Verified Position.

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities

Full-Time Equivalent (FTE) % (1=100%)


FLSA Status


Appointment Term

12 months


1st Shift

Pay Rate/Salary

Negotiable Based on Experience

Title of Position Supervisor

Senior Research Scientist I

Posting Type


Dependent on Funding


Special Instructions to Applicants (if applicable)


Additional Information


Required Education, Certifications, Licensures* (minimum requirements)

Advertised: Eastern Standard Time
Applications close:

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