Course AI for advanced scientific and academic writing

ECTS: 1.6

Course leader: Morten Pilegaard

Language: English

Graduate school: Faculty of Health

Course fee: 1,920.00 DKK

Status: Course is open for application

Semester: Fall 2025

Application deadline: 24/09/2025

Cancellation deadline: 08/10/2025

Course type: Online education

Start date: 22/10/2025

The course A337/ AI for advanced scientific and academic writing is being offered by the Graduate School of Health, Aarhus University, 2025.

Criteria for participation: 
University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).

Requirements for participation:
This course targets PhD students and researchers in the field of Medicine and closely related disciplines who already have a basic understanding of and working experience with AI-assisted writing tools, acquired through participation in the course “Articificial intelligence for scientific and academic writing” or similar,  and wish to improve their AI-assisted writing workflows to save time, become more productive and learn how to effectively synthesise previous papers into a comprehensive thesis or other academic output.

Aim: To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

Learning outcomes: 

By the end of the course, participants will be able to:

  • Apply advanced AI prompting strategies, including well-structured multi-step prompts, to complex scientific writing tasks.
  • Use AI to effectively respond to reviewer critiques and resubmit their papers.
  • AI-assist the synthesis of 3-4 published papers and other context materials into a cohesive PhD thesis, larger scientific work or grant applications.
  • Efficiently draft and edit larger scientific texts, such as scientific papers and funding proposals.
  • Perfect their writing through personalised feedback on their scientific work.
  • Maintain academic integrity while engaging extensively in AI-assisted writing.

 

Workload: The full workload of the course is expected to be 16 hours

Content:
This advanced online course is designed for PhD students and researchers familiar with basic AI tools and methods who seek to further enhance their academic writing, save time, and become more productive. It provides hands-on experience with advanced AI methods for responding to reviewer feedback, drafting papers, and synthesising multiple published papers into a thesis or funding proposal, among others. Participants will receive personalised feedback on their prompting and scientific writing, allowing them to perfect their AI and writing skills.

Participants will learn to integrate AI tools like ChatGPT and SciSpace to optimise their writing processes, from grant proposals to thesis composition, ensuring high-quality outputs aligned with academic standards.

The course is delivered online as two 4-hour online sessions with a mix of presentations, practical exercises, group discussions and personalised feedback on participants' prompting and writing. Participants will use AI tools to complete real-world writing tasks, focusing on improving writing quality, responding to reviewer critiques, rewriting paper sections for resubmission, preparing progress reports, and engaging in research communication tasks such as presentations and synthesising medical research into grant proposals, ensuring relevance to clinical and medical contexts.

The thesis-writing sections of the course are closely aligned with the Gradual School of Health’s thesis requirements and guidelines on content, structure and data safety.

What’s in it for you?

Participants will leave the course with:

  • Practical experience in using advanced AI methods for scientific writing tasks.
  • The ability to respond efficiently to reviewer feedback using AI.
  • Skills to synthesise multiple scientific papers into a coherent PhD thesis.
  • The ability to challenge existing knowledge and develop new ideas using AI
  • Personalised feedback on various pieces of their writing and prompting to enhance their AI-assisted writing skills.
  • Levelled playing field for non-native English-speaking scientists

Course benefits for your research team

The advanced AI-assisted scientific writing course provides immediate and tangible benefits for you and your research team. Here's how:

  • Significant time savings: The course will teach practical AI tools to automate writing tasks such as literature reviews, thesis composition, responding to reviewer feedback, preparing progress reports and creating presentations, allowing you to focus on advancing your research.
  • Boosted productivity: By integrating AI into your academic workflows, you will be able to complete writing tasks more efficiently, including preparing research communication materials and rewriting sections for resubmissions, improving the quality and output of your scientific work.
  • Cost-effective investment: The course enhances efficiency in writing and editing, making it a valuable solution for optimising your research outputs and improving publication readiness.
  • Levelling the playing field: Non-native English speakers will benefit from AI tools that help them overcome language barriers, allowing them to produce scientific writing that meets native-level fluency and academic standards.

As AI tools become more integral to academic research, those who adopt these innovations will maintain or even enhance their research competitiveness. Incorporating AI into academic writing processes enables individuals and research teams to stay agile and efficient, thereby reducing the time spent on routine writing tasks and allowing them to focus on other core research activities. 

Venue: Online

Participation in the course is without cost for:

Course dates:

  • 22 October 2025 13:00 - 17:00
  • 29 October 2025 13:00 - 17:00