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Phd Optimization Research Jobs in Alabama (NOW HIRING)

Overview: Draper is an independent, nonprofit research and development company headquartered in ... Familiarity with trajectory optimization, optimal control, and similar techniques. Significant ...

Data Scientist

Huntsville, AL · On-site

$120 - $170/hr

Research analysis products and tools for possible integration to enhance Analytics and AI offerings ... PhD or JD and zero (0) years or more experience; additional four (4) years of experience accepted ...

Research analysis products and tools for possible integration to enhance Analytics and AI offerings ... PhD or JD and zero (0) years or more experience; additional four (4) years of experience accepted ...

$130 - $162/hr

Advanced degree (MS/PhD) in Electrical Engineering, Mechanical Engineering, Robotics, or related ... Experience optimizing and deploying localization, fusion, and tracking models to edge computing ...

Showing results 21-40

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.

What cities in Alabama are hiring for Phd Optimization Research jobs?

Cities in Alabama with the most Phd Optimization Research job openings:

Senior Telemetry Engineer - Missile Test Operations

Ai Signal Research Inc

Huntsville, AL • On-site

Full-time

Re-posted 15 days ago


Job description

Education: See Months/Years of Experience

 

Months/Years of Experience:  Must possess a Bachelor's Degree in the designated technical area of specialization from an accredited university and nine (9) years of combined engineering and technical experience, including six (6) years of project experience; or a Master's Degree in the designated technical area of specialization from an accredited university and seven (7) years of combined engineering and technical experience, including four (4) years of project experience; or a PhD in Engineering in the appropriate area of specialization or related discipline from an accredited college/university and five (5) years of applicable experience, including two (2) years of project experience, performing engineering, analysis, and related functions in research, development, test and evaluation in support of military equipment and systems.  Areas of specialization may include electromagnetics, electro-optics, optical sciences, electronic circuits, modeling and simulation, infrared scene projection, structural analysis, radar systems, high voltage systems, mechanical systems, data acquisition, stockpile testing, HWIL, HPC, or IR scene generation.  Additional specialization requirements:  Electrical – Experience must include performing research, design, development, test or supervision of the manufacturing and installation of electrical components, or systems for commercial, industrial, military, or scientific use; and performing engineering, analysis, and related functions in research, development, test and evaluation in support of military equipment and systems.


Required Qualifications: U.S. Citizen. Must have or be able to obtain a security clearance. A highly experienced Senior Telemetry Engineer with over nine (9) years of telemetry operations and engineering support in test range environments. The ideal candidate will have a strong background supporting missile flight tests in both ship-based and land-based settings. They should possess comprehensive, end-to-end expertise in telemetry ground station design, encompassing antenna theory and operations, advanced RF demodulation and processing, signal distribution and recording, as well as telemetry DE commutation and display. This position requires approximately 50% travel to support field operations, mission execution, system deployments, and customer engagements.

 

Duties: Provide high-level oversight and expert leadership for all telemetry systems supporting mission operations. This includes supervising end-to-end telemetry system performance during test events, ensuring reliable real-time data acquisition, monitoring, analysis, and distribution across ship-based and land-based environments. The Lead will develop, maintain, and enforce operational procedures and standards that govern telemetry system configuration, data processing workflows, and archiving to ensure mission readiness and data integrity. In preparation for and during mission execution, the Telemetry Lead will play a central role in mission planning activities, advising stakeholders on telemetry system capabilities, limitations, and risk mitigation strategies. During live operations, they will provide authoritative technical oversight, coordinate system-level troubleshooting, and ensure optimal performance of antennas, RF chains, demodulation systems, recording systems, and data dissemination paths. The Telemetry Lead will analyze system performance data to identify trends, diagnose anomalies, and recommend corrective actions or system improvements. They will collaborate with engineering teams, scientists, and mission leadership to interpret telemetry results, validate system performance, and support design refinements. The role also includes mentoring and guiding team members in telemetry best practices and advanced operational concepts, as well as assessing and integrating emerging technologies to enhance system performance and mission support capabilities. 

 

Desired Qualifications: Strong knowledge of TMoIP and SATCOM technologies, with particular experience in Starshield, is also strongly preferred.  Previous experience with the MOSAIC system or MOSAIC - like systems is desired. Experience with leading industry vendors such as TCS, Quasonix, Wideband Systems, Universal Switching, and NetAcquire is highly desirable. 


Comments:  Compliance with health mandates as dictated by the contract may be a condition of employment.