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Phd Optimization Research Jobs in Minnesota (NOW HIRING)

Researcher 5

Minneapolis, MN

$70K - $85K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Independently design, execute, and troubleshoot experiments from start to finish, optimizing ... of related research training. Preferred Qualifications: * PhD in Biological Sciences field is ...

AI Training Specialist - Physics

Rochester, MN ยท On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

AI Training Specialist - Physics

Saint Paul, MN ยท On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

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Phd Optimization Research information

What is a PhD in optimization research?

A PhD in Optimization Research is an advanced academic degree focused on developing and analyzing mathematical models and algorithms to find the best possible solutions to complex problems. This field often involves linear and nonlinear programming, combinatorial optimization, and stochastic processes, and is applied in areas such as operations research, machine learning, logistics, and engineering. Graduates are prepared for careers in academia, industry, or research institutions, where they work on improving decision-making processes and resource allocation. The program typically involves coursework, comprehensive exams, and original research leading to a dissertation.

What are the typical collaborative projects that a PhD optimization researcher might work on within a multidisciplinary team?

PhD Optimization Researchers often collaborate on projects that integrate expertise from fields such as data science, engineering, computer science, and business analytics. These projects may involve developing and implementing advanced optimization algorithms to solve complex, real-world problems like supply chain management, resource allocation, or energy systems modeling. Team members typically contribute domain knowledge, data, and problem requirements, while the optimization researcher focuses on model formulation, algorithm selection, and solution analysis. Effective communication and adaptability are essential, as researchers must translate technical findings into actionable insights for stakeholders.

What are the key skills and qualifications needed to thrive as a PhD optimization researcher, and why are they important?

To excel as a PhD Optimization Researcher, you typically need a doctorate in applied mathematics, computer science, operations research, or a related field, along with expertise in mathematical modeling and algorithm development. Proficiency with programming languages such as Python, MATLAB, or C++, and familiarity with optimization libraries and tools like Gurobi or CPLEX are commonly required. Strong analytical thinking, creativity, and effective communication skills help in formulating novel solutions and collaborating with interdisciplinary teams. These competencies are crucial for advancing research, solving complex optimization problems, and effectively disseminating findings within both academic and industry settings.

What is the difference between Phd Optimization Research vs Data Scientist?

AspectPhd Optimization ResearchData Scientist
Required CredentialsPhD in Operations Research, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departments in industryTech companies, finance, healthcare, consulting firms
Industry UsageFocus on developing optimization algorithms, mathematical modelingFocus on data analysis, machine learning, predictive modeling
Common Search/ComparisonYesYes

While both roles involve advanced analytical skills, Phd Optimization Research primarily focuses on developing and refining optimization algorithms and mathematical models, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models, often applying machine learning techniques. The roles overlap in data analysis and quantitative skills but differ in their core focus and typical work environments.

Research Scholar

Minneapolis Heart Institute Foundation

Minneapolis, MN โ€ข On-site

$56K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 19 days ago


Job description

An established cardiology research team (Investigators: Yader Sandoval MD and Emmanouil Brilakis, MD, PhD) invites applications for a full-time research scholar for a period of at least two years. Our research team is based at the Minneapolis Heart Institute Foundation (MHIF) in Minneapolis, Minnesota, USA and works in collaboration with the Minneapolis Heart Institute® at Abbott Northwestern Hospital (MHI), part of the Allina Health System. The team is conducting several clinical studies, including the CT-PLAN PCI Trial, OPTIMAL Trial, P4 Trial, PROGRESS-CTO registry, PROGRESS Bifurcation Registry, the PROGRESS Complications Registry and the REBIRTH Trial. We are seeking a highly motivated researcher who is interested in studying coronary artery disease and contributing to progress in the field.

The Research Scholar will be responsible for conducting clinical research studies and using good clinical practice guidelines under the supervision of the PI. The Research Scholar will develop significant expertise in designing and executing clinical studies, both prospective and retrospective, single-center and multi-center. Moreover, they will acquire significant experience in medical writing and the publication process. The Research Scholar will also gain experience in preparing and submitting abstracts and challenging cases to scientific congresses, and in presenting their work in oral and/ or poster formats. Previous and current Research Scholars in the program have been very successful in publishing and securing clinical residency/fellowship training positions. This research position has no clinical patient care responsibilities.

Duration: We will assist the chosen scholar in the acquisition of a research visa. We are looking for a minimum commitment of 2 years full-time to optimize this training, education, research and publication experience.

Primary Responsibilities:

1. Initial research relates to CT-guided PCI/ chronic total occlusions/ coronary bifurcations/ cardiac catheterization and PCI complications, comparison of treatment/procedural strategies and outcomes. The scholars will evaluate the pathogenesis of the various components of complex coronary artery disease, as well as innovative treatments. The incumbent will also investigate and contribute actively to scientific work in the areas of CT guided PCI, coronary physiology, complex coronary artery disease such as saphenous vein graft disease, complex high-risk indicated procedures/ percutaneous coronary intervention procedures and comparison of arterial access for percutaneous procedures.

2. Participate in the development and execution of the ongoing investigator-initiated trials at the Minneapolis Heart Institute Foundation. The scholars will be involved in development of creation of study databases, review and analyses of imaging data, collaboration with research staff at the coordinating center as well as sites in collecting and analyzing study data and imaging, as well as recruitment of study participants.

3. Support “Get with the guidelines”: Creating systems and process so all coronary artery disease patients are treated according to best practice guidelines.

  1. Investigate guideline adherence and discover barriers that limit coronary artery disease patients from receiving standard of care.
  2. Design, develop, and implement novel patient care pathways leading to optimal guideline-based care.

4. Help expand the delivery of high-quality, state-of-the-art care for patients with coronary artery disease.

  1. Greatly improve coronary artery disease treatment outcomes by expanding treatment indications.
  2. Discover disease related mechanisms and early intervention methods to prevent advancing coronary artery disease.
  3. Drive early adoption of innovative therapies and AI based technologies

5. Innovate novel education methods to disseminate best in class clinical care models

  1. Create a model where all physician/providers deliver optimal coronary artery disease care.
  2. Educate consumers and patients on seeking the state-of-the-art care in the prevention, screening, diagnosis, and treatment of coronary artery disease.

Qualifications:

  • Medical degree such as MD or equivalent with track record of excellence required
  • Cardiology/Interventional Cardiology specialty training preferred
  • Interest in coronary artery disease, CT guided PCI, coronary physiology and AI in Cardiology
  • Knowledge of basic statistical methods required, R programming and REDCap proficiency preferred
  • Skilled and versatile with computer technology including the Microsoft suite, comfort with databases and preferably some website/ database development skills
  • Flexible and adaptable to work on a variety of studies and tasks
  • Proficiency in English (verbal and written)

Salary: The Research fellow will receive a full-time salary at the prevailing wage, $56,368 and employee benefits including medical, dental, life, short and long term disability, HSA with employer contributions, PTO, parental leave, tuition reimbursement, paid volunteer time, and 10 paid holidays.

Include your CV and USMLE scores if completed and two letters of reference.


For positions starting Spring of 2027, application timelines are as follows:

  • Deadline for application submission: Rolling basis till position filled
  • Interviews scheduled on a rolling basis, with intent to fill position
  • Selected candidates will be notified on or before February 28

Applications will be accepted on a rolling basis and maybe considered for the following year or the year after.