: Focus your content on the people who matter most to your career goals—such as recruiters or potential collaborators—to make your posts more valuable to them. Text & Posting Best Practices
Recruiters and brands now look for a "unicorn" skill set that blends creativity with data. Content creation
Ensure your bio is clear and your headshot is professional.
A LinkedIn profile that hasn't been updated in three years can be just as detrimental as a controversial post, as it suggests a lack of professional digital literacy. Content Strategies for Career Growth
: Instead of passive scrolling, interact with industry leaders and peers by asking questions or providing insights on their posts.
: Focus your content on the people who matter most to your career goals—such as recruiters or potential collaborators—to make your posts more valuable to them. Text & Posting Best Practices
Recruiters and brands now look for a "unicorn" skill set that blends creativity with data. Content creation
Ensure your bio is clear and your headshot is professional.
A LinkedIn profile that hasn't been updated in three years can be just as detrimental as a controversial post, as it suggests a lack of professional digital literacy. Content Strategies for Career Growth
: Instead of passive scrolling, interact with industry leaders and peers by asking questions or providing insights on their posts.
Marcel Schäfer
Marcel Schäfer serves as Senior Research Scientist for the Fraunhofer USA Center for Experimental Engineering CESE in Maryland since 2019. From 2009 to 2018 he was with Fraunhofer Institute for Secure Information Technologies SIT in Germany. With a Master’s degree in mathematics from the University of Wuppertal, Germany and a PhD in computer science from the Technical University of Darmstadt, Germany, he consults and teaches for topics on dark web, privacy networks and anonymous communication, and also serves as a subject matter expert for privacy, e.g. GDPR and data anonymization. As PI, Co-PI and researcher Dr. Schäfer has lead and worked in various projects that discover new challenges and opportunities broadly spread over the fields of cybersecurity and software engineering in both the public and private sector.
Katharina Brandl
Katharina Brandl studied computer science in Marburg and finished her master degree in 2012. During her studies she was part of the programming languages research group of Prof. Ostermann where she also wrote her master thesis about a type system for parametric tree grammars. Since 2017 she is part of the PANDA project at the Fraunhofer SIT. The PANDA project is an interdisciplinary project researching the darknet and there she is responsible for the computer science part of the project.