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Entry Level Computer Science Research Jobs in Tucson, AZ

Varsity Tutors

AP Statistics Tutor

Tucson, AZ · Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

Cheez

Product Manager @ Social app startup

Tucson, AZ · On-site

Conduct user research, usability testing, and competitive analysis to inform product decisions and ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Rincon Research Corp

DevSecOps Engineer

Tucson, AZ · On-site

$89K - $142K/yr

You'll work in a multidisciplinary R&D environment alongside talented and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and ...

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Entry Level Computer Science Research information

How to make $10,000 a month with no degree?

Entry level computer science research roles typically do not pay $10,000 per month without advanced skills or experience. To increase earning potential, developing expertise in high-demand areas like machine learning, cybersecurity, or software engineering, along with certifications and a strong portfolio, can help. Freelance work, consulting, or building scalable projects may also contribute to higher income over time.

What professions make $200,000 a year without a degree?

Entry-level computer science research roles typically do not pay $200,000 annually without advanced degrees or significant experience. High-paying tech jobs such as software engineering, data science, or cybersecurity positions often require specialized skills, certifications, or experience, and reaching a $200,000 salary usually involves several years in the field or working in senior or specialized roles.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are entry level computer science research positions?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

Is computer science dead due to AI?

Entry level computer science research roles continue to be in demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools can augment research but do not replace the need for foundational computer science knowledge and critical thinking. Staying current with emerging technologies and gaining relevant certifications can enhance job prospects in this evolving field.

How to start research work in computer science?

To start research work in computer science, begin by gaining a strong foundation in programming, algorithms, and data structures through coursework or self-study. Identify your area of interest, read relevant research papers, and seek opportunities such as internships or assistant roles to gain practical experience and mentorship.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Researcher, and why are they important?

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What are typical daily tasks and research activities for someone in an entry level computer science research position?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.
What are popular job titles related to Entry Level Computer Science Research jobs in Tucson, AZ? For Entry Level Computer Science Research jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Research jobs in Tucson, AZ look for? The top searched job categories for Entry Level Computer Science Research jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Entry Level Computer Science Research jobs? Cities near Tucson, AZ with the most Entry Level Computer Science Research job openings:
Entry Level Computer Science Research jobs near you
Infographic showing various Entry Level Computer Science Research job openings in Tucson, AZ as of July 2026, with employment types broken down into 67% Full Time, 27% Part Time, and 6% Contract. Highlights an 90% In-person, and 10% Remote job distribution.
Postdoctoral Research Associate, Systems and Industrial Engineering

Postdoctoral Research Associate, Systems and Industrial Engineering

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 26 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

345th of 555 rated colleges and universities

Job description

Postdoctoral Research Associate, Systems and Industrial Engineering
Posting Number
req25668
Department
Systems and Industrial Engr
Department Website Link
https://sie.engineering.arizona.edu/
Location
Tucson Campus
Address
1127 E. James E. Rogers Way, Tucson, AZ 85721 USA
Position Highlights
The Department of Systems and Industrial Engineering seeks a Postdoctoral Research Associate to support research at the intersection of systems engineering and digital engineering, with an emphasis on advancing methods, tools, and architectures that enable modern engineering practice. The individual will contribute original scholarship and applied research, developing prototypes and capabilities that strengthen model-based and data-driven approaches. The position values interdisciplinary thinking, particularly where software development, emerging AI-enabled techniques, and systems modeling intersect. Responsibilities include publishing and presenting research results while helping shape and mature a digital engineering sandbox environment.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAUtuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Author and co-author peer-reviewed journal papers targeting venues such as Systems Engineering (Wiley/INCOSE), SIMULATION (SCS/SAGE), Applied Ontology (IOS Press), and relevant IEEE/ACM journals.
  • Prepare and present conference papers at CSER, INCOSE IS, CESUN, and similar venues.
  • Contribute to technical reports and sponsor deliverables as needed.
  • Support the design and implementation of a digital engineering sandbox environment for capability prototyping, training, and experimentation.
  • Integrate emerging SE tooling (e.g., AI-assisted workflows, ontology-backed reasoning, requirements co-pilots) into the sandbox.
  • Ensure the sandbox supports controlled experimentation and repeatable demonstrations of SE capabilities.
  • Design, implement, and evaluate next-generation SE capabilities such as AI-augmented requirements engineering, automated conflict detection, model-based review support, and change impact analysis.
  • Advance selected capabilities from early maturity toward cross-context application using the project's assessment framework.
  • Prototype and test novel capability concepts informed by the transformation roadmap and sponsor priorities.
  • Conduct systematic literature reviews on digital engineering transformation, AI-augmented systems engineering, readiness assessment frameworks, and formal methods for SE.
  • Monitor and synthesize emerging SE capabilities.
  • Maintain a living literature database supporting project deliverables and journal submissions.
  • Design and execute controlled experiments, case studies, interviews, or surveys to generate rigorous evidence on SE capability effectiveness.
  • Collect and analyze data from sponsors and stakeholders on adoption barriers, governance gaps, and capability value.
  • Engage with professional organizations (e.g., INCOSE) to solicit expert feedback on the transformation roadmap framework and assessment methodology.
  • Mentor and supervise undergraduate research assistants working on project tasks.
  • Define scoped research tasks appropriate for undergraduate contribution (literature coding, data collection, prototype testing, documentation).
  • Review student work products and support their professional development (conference presentations, writing skills, research methods).

Knowledge, Skills, and Abilities
  • Knowledge of systems engineering principles, including model-based systems engineering (MBSE).
  • Knowledge of digital engineering concepts, tools, and transformation initiatives.
  • Skilled in utilizing Python.

Minimum Qualifications
  • Ph.D. in Systems Engineering, Computer Science, Industrial Engineering, or a closely related field. The selected candidate must have a conferred Ph.D. upon hire.
  • Experience publishing peer-reviewed journals and conference papers (e.g., IEEE, ACM, or comparable venues).
  • Experience designing and implementing research prototypes or software tools.

Preferred Qualifications
  • Experience with model-based systems engineering tools (e.g., SysML, Cameo, MagicDraw, Capella).
  • Demonstrate familiarity with digital engineering ecosystems and sandbox/testbed environments.
  • Experience with AI/ML techniques applied to systems engineering problems (e.g., requirements analysis, reasoning, automation).
  • Experience in ontology engineering, knowledge graphs, or semantic technologies.
  • Experience integrating heterogeneous tools and workflows (e.g., APIs, co-simulation, digital threads).

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Alejandro Salado
alejandrosalado@arizona.edu
Open Date
4/20/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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