Freelance Specialist Academic and Customized Technical Writer in Computer Vision

Job Code: FLS-CS-PA – 004

Freelance specialist technical writers and editors play a pivotal role in the PhdAssistance (www.phdassistance.com) business model by ensuring client satisfaction through the creation and refinement of high-quality proposals, manuscripts, and evidence-based reviews, intended for publication in esteemed journals across various subfields of Computer Vision. At present, PhdAssistance is seeking specialist freelance technical writers in the field of Computer Vision, who possess a high level of proficiency in the English language (preferably as a first language, such as the USA, Europe, and UK). We are looking for individuals who can collaborate with us on research writing, editing, and scientific communication services.

What will you do?

• Conduct scientific research and compose academic content in the realm of Computer Vision, spanning various sub-specializations such as image processing, object detection, image segmentation, pattern recognition, video analysis, feature extraction, optical character recognition (OCR), face recognition, machine learning for vision, deep learning architectures, 3D reconstruction, augmented reality, and more.
• This involves writing, editing, proofreading, and peer-reviewing manuscripts, including original studies, experimental and simulation studies research, technical notes, survey papers, short communication, review articles, letters to the editor, book review, invited papers, tutorial papers, emerging technologies, application notes, case reports, literature reviews, meta-analyses, systematic reviews, documents for journal submissions, thesis, and dissertations.
• Utilize advanced tools and techniques specific to Computer Vision, ensuring precision and accuracy in the content. This may include software such as OpenCV, TensorFlow, PyTorch, Keras, image processing libraries, MATLAB, 3D modeling tools, computer graphics software, simulation environments, and other relevant tools.
• Leveraging Computer vision methodologies to enhance analysis and learning such as Convolutional Neural Networks (CNNs): Deep learning models designed to learn and extract hierarchical features from images. Transfer Learning: Adapting pre-trained models for specific tasks, reducing data requirements. Data Augmentation: Introducing variations in training data to improve model robustness. Ensemble Learning: Combining predictions from multiple models for enhanced accuracy. Semantic Segmentation: Assigning pixels to classes for detailed object delineation.
• Stay updated with the latest trends and advancements in Computer Vision to produce cutting-edge research content.

What do you need?

• A Post Doc/PhD/master’s degree or expertise in the field of Computer Vision, with specialization in relevant subfields.
• Prior experience in research and writing, along with a preferred certification in academic writing, editing, publishing, technical report writing, scientific and technical communication, journal article composition, and more.
• Proficiency in diverse writing styles and conventions pertinent to academic and scientific documents. Strong writing and editing skills, coupled with meticulous attention to detail (previous writing experience would be a valuable asset).

Why is this a remarkable opportunity?

• Enhance your skills in research writing while refining your understanding of editing intricacies.
• Gain access to articles focusing on the latest industry trends, publication guidelines, and writing insights available on our learning and discussion platform.
• Obtain an insider's perspective on cutting-edge research taking place globally in Computer Vision.
• Earn an attractive remuneration for delivering high-quality written work.