This position is located in the St. Anthony Falls Laboratory (SAFL), an interdisciplinary fluid mechanics research center of the College of Science and Engineering at the University of Minnesota. SAFL research is focused on the intersection of fluid mechanics, high-fidelity experiments, high-performance computing, energy, environment, and geosciences. We integrate cutting-edge experimental work at laboratory and field scales with advanced computational tools, data-driven modeling, and theory to obtain innovative, science-based solutions to real-world fluid-flow challenges. SAFL personnel include affiliated faculty members, research and support staff members, postdoctoral associates, graduate students, as well as visiting researchers and undergraduate interns conducting research at SAFL.

Job Duties/Responsibilities:
(25%) Perform numerical simulations, data analysis, and theoretical analysis for water waves, wave-turbulence interactions, atmospheric and oceanic flows, and physics-based computational systems.

(20%) Develop scientific computing, high-performance computing, and data-driven methods for simulating free-surface flows, nonlinear waves, coupled multiscale flows, and complex physical systems.

(20%) Perform analyses of high-dimensional simulation data to reveal the underlying flow physics and statistical structure. Develop effective computational, reduced-order, and machine-learning models for complex flow dynamics.

(20%) Help the faculty supervisor report the research progress to funding agencies and apply for new projects. Present research results at professional conferences. Publish journal papers.

(10%) Help the faculty supervisor supervise graduate students. Lead the initial training of new laboratory members. Participate in and, as needed, lead weekly group meeting discussions.

( 5%) Responsible for ordering laboratory supplies, especially computer items, and overseeing the laboratory supply budget.

Qualifications

Required Qualifications:
• Ph.D. in mechanical engineering, computational science, data science, computer science, applied mathematics, atmospheric science, physical oceanography, or a closely related field with one or more years of research training

Preferred Qualifications:
• Extensive experience in scientific computing, high-performance computing, and/or large-scale numerical simulation of geophysical flows
• Extensive experience in data analysis, statistical modeling, machine learning and reduced-order modeling for high-dimensional simulation datasets
• Strong background in numerical methods for PDEs, computational fluid dynamics, wave dynamics, atmospheric/oceanic flows, turbulence, or related physics-based simulations
• Outstanding record in publication. Excellent oral communication skills in English. Strong ability to technical writing for research reports and conference and journal papers
• Experience in training and supervising students

Pay and Benefits

Pay Range: $91,000 to $97,000 Annually ; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume or CV.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-8647.