Transferable Skills Program
Transferable Skills – Key qualifications for your academic and non-academic career
- individual feedback from experts
- intensive learning in small groups
- multidisciplinary networking
Transferable skills are competencies acquired in one context that can be applied to other contexts, jobs, positions, functions or fields of work. A case in point are good project management skills, required in both research and various other fields (construction projects, development projects, advertising or election campaigns).
Download
Do you have the right tool for your career?
Transferable Skills – Key skills for your career (PDF, 503KB) Course Program Terms & Conditions (PDF, 80KB)| Title | Dates |
|---|---|
| Introduction to Python programming and data analysis, and visualization | 10., 13., 17., & 20.02.2025 09-16:00 |
| How to achieve high performance as a scientist | 11.02.2025 08:30-12:00 |
| Scientific Writing for Publication: Essential Skills and AI Tools for Early-Career Researchers | 18.02., 25.03., 29.04. & 27.05.2025 14-17:30 |
| How to write a competitive research grant proposal and fellowship application | 19.02., 26.02. & 05.03.2025 08:30-12:00 |
| How to illustrate your research results: Creating advanced vector graphics in Adobe Illustrator CC, online | 25.02. & 04.03.2025 09-12:30 |
| Scientific Integrity | 26.02.2025 15:15-17:00 |
| Planning and applying for a professional career outside academia | 28.02. & 07.03.2025 10-18:00 |
| Project management practice for efficient research | 03. & 10.03.2025 08:30-17:00 |
| Where (not) to publish | 11.03.2025 10:15-12:00 |
| Getting Started with 'R' - Analyzing and Visualizing your Statistical Data | 12.-14.03.2025 08-16:00 |
| Best Practices for Storytelling with your Scientific Presentation | 17. & 18.03.2025 09-17:00 |
| Out of the box - Visualize your Science in Power Point (Poster) Presentations | 21. & 28.03.2025 09-17:00 |
| Social Media for Scientists | 01. & 08.04.2025 08:30-14:00 |
| Designing scientific manuscripts with LaTeX | 04. & 11.04.2025 10-16:00 |
| Writing for lay audiences: Essential plain language and AI skills | 07.04.2025 13-16:30 |
| Public Speaking for Scientists | 15., 17., 22. & 24.04.2025 08-12:00 |
| Planning and applying for a professional career outside academia | 25.04. & 02.05.2025 10-18:00 |
| Introduction to Data Science with Python | 05.-07.05.2025 09-17:00 |
| Introduction to Research Data Management | 06. & 13.05.2025 09:15-17:00 |
| Negotiation Skills: Improving your negotiation effectiveness | 16. & 23.05.2025 08:30-16:00 |
| How to use AI tools for searching, reading, and writing: Critical thinking and sustainable best practices | 03.06.2025 13-16:00 |
| Getting Started with 'R' - Analyzing and Visualizing your Statistical Data | 11.-13.06.2025 08-16:00 |
In addition, several other bodies of the University of Bern offer various courses dedicated to transferable skills and other academic offers for doctoral candidates and/or postdocs.
The course program ”Transferable Skills“ is a project of the Vice-Rectorate International and Academic Affairs within the scope of the sub-strategy of the “targeted promotion of the academics of the future” of the university's “Strategy 2021”.
As well as earning an academic qualification, i.e. the thesis, the goal of a PhD education at the University of Bern is to acquire transferable skills so as to prepare PhD candidates for a demanding position within or outside of academia.
A further goal is to help postdocs advance in their academic career. Thus, the courses offered also give postdocs the chance to further develop relevant skills and enhance their professional profile.
Certification of such skills is seen as a competitive advantage in the labour market, which is why certificates of attendance are issued (for one day courses or longer) to document these achievements.
The course program ”Transferable Skills“ is free of charge for postdocs and doctoral candidates of the University of Bern. ECTS are entered into the Core Teaching System of University of Bern, the decision as to whether or not academic achievements shall be recognized or considered as a part of a candidate’s doctoral studies lies with the faculties and graduate schools. Please note the Terms & Conditions below. As far as is useful and possible, a product is developed in each workshop, with individual feedback provided by the lecturers.