This workshop has been designed for postdoctoral candidates who want to prepare for the job search in a systematic way, or who want to learn more about application strategies and feel more confident [...]
Do you have suggestions for the program of the Graduate Academy? Please contact us, we would love to hear from you!
Peer Coaching Programme 3 "Making a Career after the Postdoc" - Workshop "Tailor-made Job Applications"
OLTECH - Mentoring programme for young researchers (03/2023 - 03/2024)
Young researchers actively explore their career options, learn career development methods, build a network, and improve their networking strategies.
This is made possible through: specific trainings, workshops & lectures. We offer everyone a framework for a fruitful mentoring partnership.
OLTECH – Career paths in Science, Medicine and Technology 06.06.2023
Seminar series for young researchers enrolled in the doctoral study programmes
of the Graduate School OLTECH
Make an Impact! Networking and Communication Skills for Academics
How can I make an impact in professional contexts such as small-talk situations at conferences? What can help me in situations where I face an international crowd and how can I connect to an [...]
Project management for Scientists and Researchers
Projects in general can be considered as extraordinary, temporary ventures which in many cases require interdisciplinary or cross-institutional teamwork. The importance of a systematic approach to [...]
Intercultural Communication Skills
To work in research and sciences means working with people from different cultures who may have different styles of communication and a different set of values. Effective communication and [...]
Spotlight Seminar: How to apply for tenure-track positions in North America (USA/Canada)
The seminar offers an overview of the application and search process for academic positions in the USA and Canada (English-speaking). From „small liberal arts colleges” to „research 1 universities”, [...]
Analysis, visualisation and statistics using R for Environmental Scientists
This will be an introduction course intended to give students and doctoral researchers an overview and introduction to R applied to analysing environmental data, with specific emphasis on chemical datasets. The course will begin with a brief introduction to the R environment and basic function and then include an overview of statistical analyses that are valuable in environmental datasets. The doctoral researchers and master students will be able to use R efficiently and they will be able to improve their scientific work with the possibilities of R.
OLTECH – Career paths in Science, Medicine and Technology 05.09.2023
“Career paths in Science, Medicine and Technology” offers you the chance to meet OLTECH alumni and other role models, to hear from their experiences, and to interact with them. You will learn about a [...]
Peer Coaching Programme 3 "Making a Career after the Postdoc" - Kick off workshop
As a PhD researcher or postdoc you are probably facing a variety of scientific and personal challenges. In addition to inspiring scientific ideas, you also need efficient work organization, [...]
Peer Coaching Programme 3 "Making a Career after the Postdoc" - "Leadership Competence & Supervising Doctoral Researchers"
To master all demands required of a postdoc or a group leader while keeping time for creative research projects it is important to manage yourself and lead your research group in an appropriate way. [...]
Peer Coaching Programme 3 - Workshop "Conflict Management- From Confrontation to Collaboration""
This workshop introduces you to key competencies for successful dialogue facilitation and conflict resolution. Using analysis, self-management and communication tools learned here you can turn each [...]
Peer Coaching Programme 3 "Making a Career after the Postdoc" - Workshop "Career Development through Research Funding"
Researchers are increasingly faced with expectations to raise third-party funds if they want to pursue a successful research career. Yet, applying for third-party funds is not an end in itself and [...]
Peer Coaching Programme 3 "Making a Career after the Postdoc" - Team Supervision Day
The team supervision day offers international doctoral researchers and international postdocs the opportunity of reflection and counselling in a group of peers with similar roles and questions. You [...]
Graduate Schools 3GO and OLTECH
at the Carl von Ossietzky University of Oldenburg
The Graduate Academy unites two distinct graduate schools: the Graduate School for Social Sciences and Humanities (3GO) and the Graduate School for Science, Medicine and Technology (OLTECH). Taken together, they bring to the fore a large body of expertise and support for doctoral candidates and other junior researchers within structured programs and supervised PhD processes. The graduate schools provide opportunities for cooperation, exchange and joint activities among researchers from different disciplines and programs, offer more field-specific training courses, and support the development of university-wide quality standards for doctoral studies.
- The Graduate School for Social Sciences and Humanities (3GO) encompasses the School of Educational and Social Sciences (Faculty I), the Department of Business Administration, Economics and Law of the School of Computing Science, Business Administration, Economics, and Law (Faculty II), the School of Linguistics and Cultural Studies (Faculty III), and the School of Humanities and Social Sciences (Faculty IV).
- The Graduate School for Science, Medicine and Technology (OLTECH) encompasses the Department of Computing Sciences of the School of Computing Science, Business Administration, Economics, and Law (Faculty II), the School of Mathematics and Science (Faculty V) and the School of Medicine and Health Sciences (Faculty VI).
Through their flexible structures, the graduate schools can support different ways of structuring doctoral phases and can, thus, reflect their respective disciplinary cultures and career perspectives. In addition, their portfolio of activities allows for demand-driven qualification offers.