Scientific Writer / Technical Academic Writer - Computer Science (Freelance)

The Scientific Writer / Technical Academic Writer - Computer Science (Freelance) will collaborate with Innovative Research Bureau (IRB) on a per-project basis to draft, refine, and meticulously revise high-quality scientific content for academic publication in computer science and closely related interdisciplinary domains. In addition to technical depth, selected topics may also emphasize real-world applications of computer science in management domains such as finance, banking, tourism, healthcare, financial fraud detection, and other emerging interdisciplinary fields. Freelancers are expected to conduct necessary computational experiments and simulations, while ensuring originality, technical accuracy, and adherence to high-quality journal standards.

Candidates should be highly self-motivated and capable of independently managing projects from initial research to final draft. Strong command of English, academic writing experience, and the ability to contextualize technical research for practical or managerial applications are essential.

Location

Type

Number of Openings

Responsibilities:

• Select and work on topics in computer science and interdisciplinary areas that connect technology with real-world applications across diverse domains.
• Independently draft, edit, and polish scientific content to meet academic publication standards.
• Ensure content is non-plagiarized and not generated by AI tools, maintaining compliance with standards such as Turnitin and iThenticate; adherence to standard referencing is required.
• Manage deadlines and coordinate with IRB teams to incorporate feedback and revisions in line with journal requirements.
• Ensure high-quality, publication-ready content for SCI/SCIE-indexed journals.

Key Research Areas:

• Core Topics:

  Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing, Wireless Networks, Computer Vision, Data Science & Big Data Analytics, Cybersecurity & Privacy, Recommender Systems, and more.

• Evolving & Interdisciplinary Fields:

  Internet of Things (IoT), Quantum-Inspired Computing, Computational Social Sciences, and AI & ML applications across domains such as Healthcare, Finance, Business Analytics, HR, Marketing, Robotics, and more.

Qualifications:

• A Ph.D. in computer science, IT, or closely related fields is required (Candidates currently Pursuing a Ph.D. are also Eligible to Apply). Candidates with substantial experience in high-quality academic writing are encouraged to apply.

Experience Required:

• Experience in scientific/technical academic writing, evidenced by high-quality academic publications in computer science or closely relevant fields, obtained either through an academic program (e.g., Ph.D.) or through independent work.

Required Skills:

• Research and Writing

  : Strong research abilities and experience in producing non-plagiarized, high-quality academic content, as well as familiarity with citation and reference formatting standards and principles of academic integrity.

• Language Proficiency

  : Excellent command of written English, with a focus on grammar, syntax, and academic style.

• Technical Expertise:

  Ability to apply specialized knowledge relevant to project requirements, demonstrating analytical skills to evaluate and interpret data-driven results accurately.

• Computational Skills:

  Proficiency in any of the programming languages or Tools, such as Python, MATLAB, or other relevant tools for data analysis, simulation, and modeling.

• Software Proficiency

  : Proficiency in using relevant software tools for content creation and collaboration (e.g., Microsoft Office, Google Workspace).

• Problem-Solving & Curiosity:

  Strong problem-solving abilities and enthusiasm for learning and exploring new topics across multiple subject domains.

• Work and Time Management

  : Ability to work independently and manage time effectively.

What We Offer:

• Work from anywhere, anytime, with complete freedom to manage your schedule.
• Choose projects that align with your expertise and research interests.
• Engage in cutting-edge topics across core computer science and interdisciplinary domains.
• Transparent, milestone-based compensation structure.
• A collaborative, intellectually stimulating, and supportive research environment.

Discover More:

• Website

  : https://irb.org.in/

• LinkedIn

  : https://www.linkedin.com/company/innovative-research-bureau/