How to write a CV when leaving academia?

Have you ever wondered why more and more postdocs are leaving academia? There are many reasons. Often the lure of moving to industry is better career opportunities and the chance to put theoretical knowledge into practice. In the academic world, career opportunities are often limited, whereas industry seems more attractive. Not only do more stable positions await there, but also exciting projects that lead directly to social progress. Whether you want to move from theory to practice or are simply looking for more stability, leaving academia can be a sensible decision for your professional future.

Differences between an academic and an industrial CV

An academic CV is often longer and more detailed as it includes an extensive list of publications, conferences and research projects. It is particularly in demand in the academic world, where the focus is on scientific contributions.

An industrial CV, on the other hand, focuses more on practical experience, achievements and transferable skills. It is shorter and more concise and is preferred by employers in industry who look for concrete results and skills.

When switching from an academic to an industrial CV, it is important to streamline the content and focus on relevant project experience and skills.

Resume sections in an industrial context

Contact information

Start your resume with complete contact information including name, phone number and email address. This will ensure that potential employers can reach you easily.

Career objective

A clearly formulated career objective gives insight into your career plans and shows how you can be integrated into the company.

Work experience

Here you should outline relevant work experience. Focus on achievements and responsibilities that highlight your suitability for the position you are applying for.

Education

List your academic degrees in reverse chronological order. Mention relevant courses or projects, especially if you have attended specialized IT training.

Skills

Emphasize the technical and interpersonal skills necessary for the industrial position you are seeking

By carefully developing these sections, you will leave a lasting impression on employers.

Customizing your skillset for industry

Translating scientific skills into industrial skills requires a targeted adaptation of your skillset. Here are some key skills you should emphasize:

• Data analysis skills: Use your knowledge of statistics and data visualization to gain insights into business data

• Programming skills: Learn programming languages like Python that are commonly used in the industry.

• Machine learning: Understand the basics of machine learning methods such as regression and classification

• Project Management: Develop skills in managing AI projects to effectively lead teams.

• Communication skills: Translate complex technical information for non-technical teams.

By transitioning from university knowledge to practical, technical skills, you can ensure your professional success in the industry.

Conclusion and next steps

Once you have completed your bootcamp training, the next step is clear: use your newly acquired knowledge to launch your IT career! Build a strong portfolio and network with industry professionals to take advantage of the best career opportunities.