Schedule of Events

Have you just started your doctoral research period? And would like to know more about the services offered at KIT for doctoral researchers? Then come and join other German and international KIT PhD students at the welcome event for doctoral researchers. In a presentation, we will give you plenty of information on how to best profit from the doctoral research period (including information on research stays abroad and services offered at KIT). In addition, there will be two brief testimonials by more advanced fellow researchers. They will share their experiences with you concerning doing the PhD at KIT and will be happy to answer your questions. At the end of the English-language event, there will be time for some networking during a get-together involving snacks and drinks.

We would in particular like to welcome those who have recently started their doctorate – however, the event is open to all German and international KIT doctoral researchers.
 
The Welcome Event takes places on Campus North of Karlsruhe Institute of Technology (KIT) in Eggenstein-Leopoldshafen (Connections to Campus North: https://www.kit.edu/downloads/Fahrplan_Zubringer_CN.pdf). Access to the KIT Campus North is permitted only with a valid visitor pass or the employee KIT Card. If you don't have an employee KIT card, we can get a visitor pass for you.

The Welcome Event takes place four times a year. One of these events is staged on Campus North.

Have you just started your doctoral research period? And would like to know more about the services offered at KIT for doctoral researchers? Then come and join other German and international KIT PhD students at the welcome event for doctoral researchers. In a presentation, we will give you plenty of information on how to best profit from the doctoral research period (including information on research stays abroad and services offered at KIT). In addition, there will be two brief testimonials by more advanced fellow researchers. They will share their experiences with you concerning doing the PhD at KIT and will be happy to answer your questions. At the end of the English-language event, there will be time for some networking during a get-together involving snacks and drinks.

We would in particular like to welcome those who have recently started their doctorate – however, the event is open to all German and international KIT doctoral researchers.

The Welcome Event takes place four times a year. One of these events is staged on Campus North (September 16, 2026).

A career in industry is an attractive option for many young scientists after completing their doctorate or postdoc phase. And quite a few actually choose to leave academia with the aspiration of entering responsible positions in the private sector.
 
However, given that employees in private enterprises often are required to both pursue different goals and work differently compared to employees in research institutions, scientists need to adopt different mindsets and competences for succeeding in a business environment. In addition to specialist professional knowledge, transferrable skills in the areas of management methods, leadership and communication are particularly required.
 
To give you a head start for a successful career entry in the private sector, this e-learning program provides initial insights into key competences specifically for the business context. A selection of short online courses examines a variety of relevant topics, taking examples from everyday business life as their starting point. Apart from conveying theoretical background information they offer practical advice and provide suggestions for exercises and self-reflexion. Competences acquired by working thouroughly on these e-learnings can also be helpful for similar tasks in other than industrial work contexts, of course.
 
We have three modules in our Short-Cuts to Industry Program: Management Methods - Leadership - Communication. Depending on your personal needs, you can choose one course per module (they are offered in English, German or other languages) and compile them into your personal self-learning programme. Get fit for a career in industry! Below you can register for the Management Methods module.
 
Management Methods            
Agile Project Management - Basics (60 min)
Developing an Agile Mindset (80 min)
Increasing Your Inner Resilience (60 min)
Scrum – The Overview (80 min)
Time Management (70 min)
Big Data - Understanding the World of Data (60 min)
 
Information on registration and course operation
You will be able to choose one course per module. Please choose carefully on the basis of the course descriptions, taking into account that some courses overlap in their content. You can find a description for every course in this course catalogue.
 
This e-learning course is being offered in a self-learning format. You therefore have the option to begin at any time convenient to you and work through it at your own pace. Please note that the indicated course durations refer to the pure processing time of the course contents. Please plan additional time for transfer tasks.
 
 
Please note
You will receive the login details as well as further information on the course in a separate e-mail within three weeks after registration for the course. Please register below for the Management Methods module. The e-learning will be accessed on an external online training platform.
 
You can find the Leadership module here: https://www.khys.kit.edu/veranstaltungskalender.php/event/62248 You can find the Communication module here: https://www.khys.kit.edu/veranstaltungskalender.php/event/62254  

This course will help you to explore how you can communicate your work to a range of audiences using digital tools and innovative communication methods. It will also encourage you to reflect on how you can build networks and connect with your professional community. This course helps you to:   Communicating the importance of your work to a potential funder or industry partner Identify the networks that are meaningful to you Develop strategies that can help you to build your networks and connect with a professional community Explain how digital communication and social media might provide networking opportunities and how to make the most of in-person event Evaluate how innovative approaches can contribute to your research communication strategy  
Throughout the course, in-depth interviews with current doctoral researchers and experienced academics will provide you with tips and advice on various aspects of attending, presenting at and organising seminars, symposia and conferences.
 
Duration of this course: 120 min
 
The indicated course duration refers to the pure review of the learning content. Please plan additional time for working on exercises and transfer tasks.
 
This e-learning course is being offered in a self-learning format. You therefore have the option to begin at any time convenient to you and work through it at your own pace.
 
Please note
You can access the course on the KOaLA-online training platform of KIT.
 
+++ Please make sure to use Firefox when accessing the e-learning courses on KOaLA. Otherwise the courses and your learning progress might not be displayed correctly. +++
 
Please follow the subsequent link to the platform website: https://koala.kit.edu      Please register on the platform with your KIT-account details (‘Mit KIT-Account anmelden’) Please select the tile ‘Repository’ (‘Magazin’) and scroll to the ‘Marketplace’ (‘Marktplatz’) where you will find all available tiles of KHYS e-learning courses. Please select the tile of the course and click ‘Join’ (‘Beitreten’).  
This course is open to all KIT-members at any time.

Statistical Research Methods provides comprehensive, cross-disciplinary support for junior researchers who require a foundation or refresher in statistical methods. With a pre-programme diagnostic tool, signposted material and a modular format, the course supports researchers who want to evaluate and interpret statistics. It addresses the current statistics context, taking the interdisciplinary research environment into consideration.
 
The course includes the following modules:
 
Utilise statistics to enable and enhance your research Storytelling with data visualisation and exploratory analysis with descriptive statistics Probability distributions as approximating models of reality Sampling, estimation and generalisation of results Evidence-based statistical inference False positives? False negatives? The need for replicability of results Categorical predictors with analysis of variance (ANOVA) Explaining the world of variation through linear modelling  
Duration of this course: 4-5 h
 
The indicated course duration refers to the pure review of the learning content. Please plan additional time for working on exercises and transfer tasks.
 
This e-learning course is being offered in a self-learning format. You therefore have the option to begin at any time convenient to you and work through it at your own pace.
 
Please note
You can access the course on the KOaLA-online training platform of KIT.
 
+++ Please make sure to use Firefox when accessing the e-learning courses on KOaLA. Otherwise the courses and your learning progress might not be displayed correctly. +++
 
1. Please follow the subsequent link to the platform website: https://koala.kit.edu     
2. Please register on the platform with your KIT-account details (‘Mit KIT-Account anmelden’)
3. Please select the tile ‘Repository’ (‘Magazin’) and scroll to the ‘Marketplace’ (‘Marktplatz’) where you will find all available tiles of KHYS e-learning courses. Please select the tile of the course and click ‘Join’ (‘Beitreten’).
 
This course is open to all KIT-members at any time.