What is better, online courses or in-house seminars? This table will help you decide.
Our online courses- One by one
All courses can be conducted in English or German. The course material is in English.
- Time and career management for scientists (Stand-alone online course)
- PhD, and next? Career options, skills and orientation for scientists (Stand-alone online course or blended learning (What is blended learning? See below) with our on-site seminar)
- Job application and interview strategies for scientists (Stand-alone online course or blended learning with an on-site seminar)
- How to become a professor (Stand-alone online course)
- Scientific posters: design and pitching (Stand-alone online course or blended learning with an on-site seminar)
- Oral presentations (Stand-alone online course or blended learning with an on-site seminar)
- Self-presentation and networking (Stand-alone online course)
- Navigating social media (Stand-alone online course)
The scheme below explains the difference between stand-alone online courses and blended learning activities.
Furthermore, most of the units in our courses can be delivered as short individual blocks, so-called impulse webinars: one 60-90 minutes live webinar together with some individual and group exercises, equating to two to three hours worth of workload for the learners.
A Certificate of Participation and ECTS can be awarded. The criteria for awarding these will be set together with the coordinators.
We specifically target PhD students, postdocs and PIs from the natural- and life- sciences.
Methods and media
We use a learning platform for flexible content delivery as well as a webinar platform for live interactions. These software options are easy to use and do not require learners to install anything on their computers. All content is produced in our own studio, which ensures high quality recordings.
Learners all have different learning style preferences. Some like learning with videos, others prefer to read a text. Some would like to interact and exchange with other learners, others prefer a solitary working style. We try our best to accommodate to all learning styles and create unique educational experiences.
Therefore, we use webinars, eBooks, PDFs, videos, audios and interviews with experts. Throughout the course we encourage peer-to-peer interactions among learners using group assignments and discussion forums. The instructors provide additional feedback and in some cases even one-on-one discussions with each learner. At any time, your instructors will respond to your questions and comments within max. 48 hours.
Schedule and estimated duration of the course
Our online courses range from 6-15 hours workload.
Our online courses take place within a defined time frame (e.g. Sections 1-3 in Week 1…) to ensure a coherent learning experience within the group and allow for discussions. Within these time frames we allow learners to accomplish their work whenever and wherever it suits them to allow for a high degree of flexibility.
We are open to bookings from institutional customers, e.g. a graduate school organising a course for their PhD students and postdocs.
We do not offer open courses for individual customers.
Please contact us (firstname.lastname@example.org) to receive additional information and an offer.
Reference customers Online Academy
- IMPRS for Molecular Life Sciences, Martinsried
- IEEE Signal Processing Society
- SFB 914 Traficking of Immune Cells in Inflammation, Development and Disease (LMU Munich)
- Graduate School of Life Sciences (GSLS), Universität Würzburg
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
- Max Planck Institute of Biochemistry, Martinsried
- TU-Nachwuchsring der TU Kaiserslautern
- Graduiertenakademie, Technische Universität Dresden
- Forschungsverbünde der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Förderung der Gleichstellung (F³G)
- MARUM – Center for Marine Environmental Sciences, University of Bremen
- Integrierte Graduiertenschule des SFB/TRR 227, Ultrafast Spin Dynamics am Fachbereich Physik der Freien Universität Berlin
- Max Planck Institute for Biology of Ageing, Cologne
- IMPRS for Earth System Modelling
Dr. Karin Bodewits, Dr. Philipp Gramlich and Peter Kronenberg