Anmeldung beendet

BayWISS Life Sciences and Green Technologies

Doctoral Colloquium

Join us for an exciting networking event and colloquium, exclusiveley for doctoral candidates of our BayWISS Joint Academic Partnership "Life Sciences and Green Technologies"! Connect with fellow doctoral candidates, share your experiences, and expand your network. Don’t miss out on this chance to elevate your academic BayWISS journey!

Your Benefits:

  • Networking Opportunities: Meet peers and BayWISS-Buddies.
  • Knowledge Sharing: Exchange ideas and insights that can enhance your research.
  • Career Development: Gain valuable advice on guidance in career planning.
  • Supportive Community: Build lasting relationships in your BayWISS Network.

Programm:

Tag 1 - 14.11.2024:

11:30 Uhr Treffpunkt Seminarraum 212, Alte Spinnerei, 2. OG (Universität Bayreuth, Fakultät für Lebenswissenschaften: Lebensmittel, Ernährung & Gesundheit, Hans-Acker-Str. 10, Kulmbach)

12:00 Uhr gemeinsames Mittagessen (Mensateria Campus Kulmbach - nur nach Anmeldung!)

13:00 Uhr Begrüßund und Eröffnung des 5. Promovierendenkolloquiums des BayWISS-VK Life Sciences | Grüne Technologien

13:30 Uhr Vorstellung BayWISS als Promovierendennetzwerk - Wahl der Promovierendenvertretung

14:00 Uhr Workshop "Draw up your competence profile, guidance in career planning" (Dr. Iris Köhler, Details unten)

18:00 Uhr Abschluss Tag 1, Check-In Taste Hotel Kulmbach (Luitpoldstraße 2, 95326 Kulmbach)

19:30 Uhr gemeinsames Abendessen (Café Stamm)

21:00 Uhr Nachtwächterführung Kulmbach

22:00 Uhr Ausklang


Tag 2 - 15.11.2024:

08:45 Uhr Start Tag 2  (Seminarraum 233, Alte Spinnerei, 2. OG)

09:00 Uhr Planung 2025 (Formate, Promovierendenkolloquium, Fachlicher Austausch)

10:30 Uhr Abschluss Promovierendenkolloquium

10:45 Uhr Registrierung Netzwerktreffen

11:00 Uhr Führung Campus Kulmbach

12:00 Uhr Networking Lunch BayWISS-Netzwerktreffen

13:00 Uhr Start Annual Network Meeting, register here: https://eveeno.com/489960494


Details on the Workshop:

This special course is based on the Kompetenzenbilanz coaching method. Course participants analyze their competencies in detail and identify their strengths, practice how to explain them to potential employers and develop an action plan for further development. The schedule is based on the core principals of the Kompetenzenbilanz (Experience – Perception – Motivation - Action) and includes information about the job market and practical examples on how to use one’s competency profile in job applications.

  • TARGET GROUP: Doctoral researcher and postdocs from all fields
  • CONTENT: Young scientists are often lacking awareness of their competencies, and find it hard to put them into words. However, it is fundamental that young scientists can describe their competencies in a concise way, if they want to apply successfully for positions within and outside academia.
  • GOALS: After this course, participants have developed a comprehensive profile of their competencies, which forms the basis for effective and targeted job applications. They can assess their competencies and present them in a concise and adequate way, they know their strengths and are able to explain their “added value” to the employer.
  • METHODS: Short lectures, self-reflection & individual work with coaching exercises, pairwork and group work, discussions, job interview simulation;

Trainer:

Dr. Iris Köhler is an agricultural scientist, career coach and trainer. She is working since 2017 as an course instructor and coach for young scientists with a focus on the topic of career planning. In 2018, she successfully founded her company The Scientist Coach.

She is driven by the desire for growth - so she loves to watch her garden grow and develop and to intervene when necessary. This passion for growth and development also characterizes her work as a career coach and trainer. She finds it fulfilling to accompany people on their journey and support them in developing their full potential.

Personal Details

Doctoral Colloquium 2024  BayWISS-Verbundkolleg Life Sciences and Green Technologies

Datenschutzerklärung / Data privacy statement

Mit der Anmeldung und Ihrer Teilnahme erklären Sie sich damit einverstanden, dass wir Ihre persönlichen Daten für BayWISS-interne Zwecke und für die Abwicklung der Registrierung für diese und nur für diese Veranstaltung über das Portal eveeno speichern, wir verwenden Ihre Daten für keine anderen Zwecke und geben sie nicht weiter. Außerdem erklären Sie sich damit einverstanden, dass wir Bild- und Tonmaterial von der Veranstaltung für Zwecke der Presse- und Öffentlichkeitsarbeit des BayWISS Verbundkollegs "Life Sciences und Grüne Technologien" und der Universität Bayreuth nutzen. 


Die Anmeldung für diese Veranstaltung ist leider beendet.