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Weekend Computer Science Environmental Jobs in Pittsburgh, PA

... Computer Science, or related field; Ph.D. preferred. * 3+ years of relevant data analysis ... Familiarity with cloud/HPC/big-data environments and data visualization. * Biomedical or ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Exposure to analytical work in research or technical environments * Experience contributing to ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Exposure to analytical work in research or technical environments * Experience contributing to ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Exposure to analytical work in research or technical environments * Experience contributing to ...

This is an entry-level opportunity and is great for graduates of environmental science, geology ... Strong computer literacy with the ability to effectively utilize commonly used computer software ...

This is an entry-level opportunity and is great for graduates of environmental science, geology ... Strong computer literacy with the ability to effectively utilize commonly used computer software ...

This is an entry-level opportunity and is great for graduates of environmental science, geology ... Strong computer literacy with the ability to effectively utilize commonly used computer software ...

Showing results 21-40

Weekend Computer Science Environmental information

What is the difference between Weekend Computer Science Environmental vs Weekend Data Analyst?

AspectWeekend Computer Science EnvironmentalWeekend Data Analyst
Required CredentialsRelevant computer science or environmental certifications, degreesData analysis certifications, degrees in statistics or related fields
Work EnvironmentOutdoor or lab settings for environmental work; computer labs for CSOffice or remote settings, analyzing data on computers
Employer & Industry UsageEnvironmental agencies, tech companies with environmental projectsBusinesses, research firms, government agencies analyzing data
Common Search & ComparisonOften compared for weekend or part-time roles involving tech or environmentCompared for data analysis roles, but less so with environmental focus

The comparison between Weekend Computer Science Environmental and Weekend Data Analyst highlights differences mainly in work environment and certifications. While both roles involve computer skills, the environmental role emphasizes outdoor or lab work, whereas data analysts focus on office-based data processing. Understanding these distinctions helps job seekers choose roles aligned with their skills and interests.

What are the most commonly searched types of Computer Science Environmental jobs in Pittsburgh, PA?

The most popular types of Computer Science Environmental jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Weekend Computer Science Environmental jobs?

Cities near Pittsburgh, PA with the most Weekend Computer Science Environmental job openings:

The SCS Mark Stehlik Postdoctoral Teaching Fellowship

Pittsburgh, PA • On-site

Carnegie Mellon University
Colleges, Universities, and Professional Schools • 1 - 10 employees

$47K - $64K/yr

Full-time

Re-posted 23 days ago


Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Description
Applications are invited for the Mark Stehlik Postdoctoral Teaching Fellowship in the School of Computer Science at Carnegie Mellon University. This is a high-profile, one-year position, with a possibility of renewal for a second year. We seek recent Ph.D. recipients in computer science or a related field with a strong interest, and demonstrated promise in teaching, who would like to gain teaching experience in a vibrant environment with a dynamic curriculum and excellent students.
The School of Computer Science consists of 7 different departments:
  • Computational Biology Department (CBD)
  • Computer Science Department (CSD)
  • Human-Computer Interaction Institute (HCII)
  • Language Technologies Institute (LTI)
  • Machine Learning Department (MLD)
  • Robotics Institute (RI)
  • Software and Societal Systems Department (S3D)

Applications may be submitted via Interfolio at any time, with reviews taking place each spring.
For questions, please email: Stehlik-teaching-fellowship@cs.cmu.edu
Qualifications
We seek recent Ph.D. recipients in computer science or a related field with a strong interest, and demonstrated promise in teaching, who would like to gain teaching experience in a vibrant environment with a dynamic curriculum and excellent students.
Application Instructions
Candidates are considered across all departments. To apply candidates should submit:
  • Cover letter
    • The cover letter should indicate which department(s) the candidate believes they would be a good fit for.
  • CV
    • NOTE: Candidates will need to have completed their Ph.D. before they start the teaching fellowship.
  • Statement of Teaching
    • It is not expected that candidates have experience teaching, but they should have a strong interest, and display some evidence of promise in teaching. Additionally, candidates should explicitly discuss which department(s) are a good fit for their preparation and interests.
  • Broader Impact Statement
    • Candidates should describe how they plan to support students. They may also wish to describe additional ways they would like to support the learning of students beyond the traditional classroom. In this statement you might consider telling us about unique curriculum design, or your own personal background, or how you broaden the distribution of your research results beyond traditional audiences. We are interested in learning anything you wish to share about you or your work that demonstrates the potential to broaden participation in computer science, or more generally benefit CMU and society.
  • The names and email addresses of three or more individuals who have been asked to provide letters of reference
  • (Optional) Research Statement
    • Note: the research statement is helpful but not required. This is a teaching focused position, and candidates who feel that their research experience will be something that can support their teaching are welcomed to include a research statement.

Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

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