Below, you will find an overview of the PhD programme for each department of the faculty of Science. Please visit the pages of the specific department for more information about the education offered. Some departments have joint a national research school. Therefore the website links in some cases to a web address not part of the VU. For general questions PhD students can contact the PhD coordinator of the department (see schedule under Training and Supervision Plan).
Courses offered by the VU
For more information contact Simone Zindel and Maaike Croes: firstname.lastname@example.org.
All PhD candidates that started after 1 April 2015 are required to take a course on scientific integrity.
The aims of the course are to:
- introduce you to the topic research integrity;
- help you identifying any potential grey areas in your research field;
- stimulate an open discussion of research integrity matters on the work floor.
The next course Scientific Integrity part I for PhD’s is starting 7 April 2020. There are two more courses (part one) planned this year, on 29 September 2020 and 1 December 2020. Before our first meeting, planned on 7 April 2020, it is expected to complete the online course Research Integrity (please send your certificate before 20 March 2020 to Simone Zindel/Maaike Croes at email@example.com
). The second part of the course Scientific Integrity is planned on 28 May and there will be a course planned on 17 November 2020. Before you can participate in the course you must be registered in Hora Finita. For details about registration in Hora Finita, please contact your department secretary.
Herewith more information about the course:
Training ‘Writing a Data Management Plan’ for PhDs from FGB and Faculty of Science
Sign up through the Library Event Calendar
- Tuesday 26 November 2019, 9.30-12.30 (research without personal data); registration closes 4 November 2019; NB: if you have registered for this event already, please be aware that the target group is PhDs whose research does not involve personal data in the sense of the GDPR. If you are working with personal data, please sign up for one of the corresponding versions of this course in 2020.
- Wednesday 29 January 2020, 9.30-12.30 (research with personal data); registration closes 8 January 2020
- Tuesday 31 March 2020, 14.00-17.00 (research with personal data); registration closes 3 March 2020
- Thursday 7 May 2020, 9.30-12.30 (research without personal data); registration closes 9 April 2020
Registration: Library Event Calendar (please select the course of your choice)
Workload: 1 EC
Target group: PhD students at FGB/Beta at the beginning of their research project (± 1st year)
Maximum number of participants: 30
Language: the default language for this course is English, but we can switch to Dutch in case all participants speak Dutch. If desired, assignments may be submitted in Dutch as well.
Costs: free of charge for VU PhD students
The University Library provides training on Research Data Management (RDM) for PhD students. We kindly invite PhD students from the Faculty of Behavioral and Movement Sciences (FGB) and the Faculty of Science to this course on writing a Data Management Plan.
Good RDM (e.g. storing, sharing, archiving, describing your research data) contributes to research transparency and integrity. Due to the advance of new technologies, data volumes and numbers of files are constantly increasing. For that reason good data management is an essential part of data-driven research as well. In this workshop, we will introduce and discuss the different aspects of RDM which typically need to be covered in a data management plan (DMP), such as data description, data storage during research, sharing data with colleagues, data archiving after research and data citation. The various components of research data management will be related to the FAIR principles (that is, principles to make data Findable, Accessible, Interoperable and Reusable). We will also address the ethical and legal framework, including the General Data Protection Regulation (the European law on privacy), if applicable.
In this training, you’ll learn why good RDM is necessary and how it can be beneficial to your research. In an interactive workshop, we will provide you with practical guidelines and instruments to manage your data properly. You will be working on a DMP for your own research, so that you can apply the things you learn to your own project.
This training requires some preparation from your side. You will be asked to study some materials about RDM (two short articles and a website). In addition, you need to write a first draft of a DMP, which will be worked out in more detail during the workshop.
Estimated time investment for the preparation: 20 hours
Credits for this course: 1 EC (you will receive a certificate upon completion of all compulsory components)
Detailed overview of time investment:
|Preparation (reading materials)||10 hours|
|Study DMP templates and choose one for the assignment||2 hours|
|Write first draft of DMP ||8 hours|
|Discuss DMP with your supervisor(s)||1 hour|
|Finalise your DMP||4 hours |
|Total ||28 hours (= 1 EC)|
Links to graduate school pages
Request for certificate
Once the supervisor has approved the dissertation, the PhD candidate shall submit the final version of the courses/activities that he/she has taken to the department (is PhD coordinator). The final version is submitted together with Form II to the Vice Dean for a final check before receiving the faculty certificate.