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Phd Python information

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often within computer science or data science disciplines. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related fields and use Python as a primary tool for research, coding, and data analysis. Advanced programming skills and knowledge of algorithms, machine learning, or software development are usually required for such research-focused doctorates.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
What are popular job titles related to Phd Python jobs in Utah? For Phd Python jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Phd Python jobs in Utah look for? The top searched job categories for Phd Python jobs in Utah are:
Phd Python jobs near you

Senior Software Engineer Angular/Python

Western Governors University

Salt Lake City, UT • On-site

$120 - $170/hr

Other

Posted 22 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Overview

Senior Software Engineer position responsible for the design, development, analysis, testing, and implementation of software operating or application systems. Communicates project information to clients, project managers, and other design personnel; maintains strong relationships with clients and staff; writes and maintains documentation; supports team members; and ensures goals and deadlines are met. This role may require up to 20% travel.

Responsibilities
  • Act as an expert in assigned areas of software engineering and mentor junior engineers to improve effectiveness.
  • Maintain accountability for quality of services and success of projects in scope, on time and on budget.
  • Contribute as a lead or consultant for at least one team; serve as a go-to person in a sub-discipline or application area.
  • Mentor team members through formal and informal guidance during meetings and problem solving; communicate effectively with other disciplines to identify and resolve problems.
  • Lead teams or cross-functional groups in knowledge transfer through formal or informal means (presentations, white papers, etc.).
  • Act as a planning consultant to identify technical risks and dependencies; anticipate problems and mentor others in risk management.
  • Provide authoritative answers related to ownership of the platform; contribute to rapid identification of system problems and minimize time to restoration of services.
  • Assist engineering management in identifying opportunities for improvement, including training and addressing emerging problems.
  • Plan and execute testing strategies to maximize quality while minimizing costs; balance quality and time-to-implement considerations.
  • Translate functional, non-functional, and implied requirements into designs and code that meet specifications; identify gaps and propose solutions.
  • Guide junior engineers on requirements delivery and collaboration with Operations to solve system-level problems.
  • Perform other job-related duties as assigned.
Knowledge, Skills, and Abilities (KSAs)
  • Understanding of software development processes (Planning, Measurement, Coding, Testing, Reuse, Tools, Abstraction, Algorithms and Complexity, Security, basic system understanding).
  • Ability to employ engineering tools and techniques (database management, UI development, inter-process communication, etc.).
  • Ability to design code that meets functional and non-functional requirements; use design patterns and secure, fault-tolerant designs.
  • Experience with multiple design methodologies (Object-Oriented, Function-Oriented, data-centered) and various SDLC models; understanding of Software as a Service implications.
  • Ability to design for scale, reliability, and cost in a cloud environment; use data and metrics to analyze KPIs.
  • Ability to explain system value to users and how subsystems interoperate; partner with Operations to solve problems at the system level.
  • Strong communication skills; ability to present solutions, manage expectations, and engage stakeholders appropriately.
  • Ability to identify, mitigate, or avoid risks and coordinate with leads or managers on risk management strategies.
  • Understanding of the higher education landscape, including online education, competitive landscape, opportunities, and feature gaps; identify innovative ideas or technologies to advance the platform.
  • Ability to drive adoption through change management processes; foster team cohesion and effectiveness.
Qualifications
  • Minimum Qualifications: Bachelor’s Degree in Computer Science, Information Technology, or related field; 6 years of software development experience; experience with web-based applications and web services using Java, REST, ServiceNow, and related technologies; experience interfacing with databases and integrating third-party products with existing infrastructure. Equivalent relevant experience may substitute for education requirements (1 year of experience per 1 year of education).
  • Preferred Qualifications: Master’s degree or PhD in Computer Science or related field; experience with IntelliJ/VS Code, JIRA, Git; Agile/Scrum project development; IDM/OSSO, Hibernate/Seam, Banner; application integration with legacy systems; cloud-native development or porting/refactoring to cloud (AWS preferred); J2EE/Java EE/JavaScript/SQL.
Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to protected characteristics as required by law.

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