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Internship Computer Science Design information

What are the key skills and qualifications needed to thrive as an Internship Computer Science Design, and why are they important?

To thrive in an Internship Computer Science Design role, you need a solid understanding of programming fundamentals, user interface principles, and relevant coursework in computer science or design. Familiarity with design tools like Figma or Adobe XD, coding languages such as HTML, CSS, and JavaScript, and basic version control systems like Git is often expected. Creativity, attention to detail, and teamwork are essential soft skills for collaborating on projects and iterating on design solutions. These skills are crucial for effectively contributing to real-world projects, bridging the gap between user needs and technical implementation.

What are Internship Computer Science Design positions?

Internship Computer Science Design positions are entry-level opportunities for students or recent graduates to gain practical experience working on the intersection of computer science and design. These internships typically involve tasks such as developing user interfaces, prototyping software, collaborating with cross-functional teams, and learning about user experience (UX) and user interface (UI) principles. Interns gain hands-on skills with design tools, programming languages, and methodologies used in the tech industry. The experience helps build a portfolio and can often lead to full-time job opportunities.

What is the difference between Internship Computer Science Design vs Software Developer Intern?

AspectInternship Computer Science DesignSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Design, or related fieldsUsually pursuing or recent graduate in Computer Science or Software Engineering
Work EnvironmentDesign-focused projects, user interface, and experience developmentCode development, debugging, and software implementation
Employer & Industry UsageTech companies, startups, and design agenciesTech firms, software companies, and startups
Search & Comparison IntentUnderstanding design-focused internship roles in techExploring software development internship opportunities

Internship Computer Science Design primarily involves design and user experience tasks, while Software Developer Intern focuses on coding and software creation. Both roles target computer science students but differ in their core activities and skill emphasis.

What kinds of projects can I expect to work on during a Computer Science Design internship?

As a Computer Science Design intern, you can expect to work on interdisciplinary projects that blend software development with user experience and interface design. Typical tasks may include prototyping user interfaces, collaborating with engineers and designers to develop application features, and conducting usability testing. You may also assist in creating wireframes, designing interactive elements, and ensuring that the technical implementation aligns with design specifications. This role often provides opportunities to participate in team meetings, receive mentorship, and contribute creative solutions to real-world problems.
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Internship Computer Science Design jobs near you

Cryptologic Computer Scientist 3

Gormat

Annapolis Junction, MD • On-site

$133K - $148K/yr

Full-time

Posted 23 days ago

Job description

We are searching for a Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark, and experience working with large scale data. You need to have a strong network and protocol analysis background, and familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.

The Level 3 Cryptologic Computer Scientist shall possess the following capabilities:

  • Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework.
  • The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
  • Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).
  • Provide development, scripting, reverse engineering, and vulnerability research for CNO. Ability to perform analysis, exploitation, and TDNA/DNEA support. Familiarity with CNO tools and operational support.

Qualifications:

  • Doctoral degree plus 4 years of relevant experience.
  • Master's degree with 6 years of relevant experience.
  • Bachelor's Degree with 8 years of relevant experience.
  • Associates degree with 10 years of relevant experience.
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).
  • Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.
  • Strong Python and Spark skills.
  • Strong Network and Protocol Analysis background.
  • Familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.

TS/SCI with polygraph is required.


Job Posted by ApplicantPro