Name: Simon Bastide (he/him)
PhD: Kinesiology / Neuroscience / Biomechanics, Université Paris Saclay, 2021
What was your main area of research?
During my PhD, I researched how people interact with upper-body exoskeletons, which are robotic wearable devices that help with movement. I studied two control methods: one that allows natural movement without interference and another that supports lifting the arms. By handling large amounts of data and teaching myself Python, I analyzed how users adapt to these devices. Additionally, I engaged in activities typical of a PhD student, such as giving presentations, writing papers, and teaching. This work aims to make exoskeletons more effective and easier for people to use.
What is your current job?
I am the Lead Data Scientist at Ergosante in Anduze, France.
I work at a company that develops exoskeletons, where I measure their impact on human movement by analyzing data and providing valuable insights. I lead a motion capture project, which includes managing video applications to track and assess movements. Additionally, I advise other teams with my expertise in biomechanics to enhance our products. I also regularly present our ongoing projects both inside the company and to external audiences. My role combines data handling, project management, and collaborative consulting to support the development of effective exoskeleton solutions.
One of my favorite things about my job is the opportunity to collaborate with diverse people and continuously learn new skills every day. I enjoy solving problems, especially when working within constraints like workload and resources, which keeps my work interesting and challenging. Feeling listened to and valued by my team allows me the freedom to think and act creatively. Additionally, I appreciate the beautiful location in France where I work, providing a wonderful environment to live and work.
How did you find this position? What were the career steps you took to get to where you are now?
After completing my PhD, I took a data engineering role in a different industry for 1.5 years. Then I wanted to return to my specialized field, but opportunities were limited, so I began pursuing freelance work. While reaching out to various companies, I connected with the CEO of my current company. He offered me a permanent position that aligned with my expertise, and I decided to accept the offer.
PhD graduate ➡️ Data Engineer in a different field (aeronautics) ➡️ Freelance data consultant ➡️ Permanent position at current exoskeleton Company
Why did you decide to not pursue a career in academia?
I wasn’t drawn to the traditional academic path, which often involves multiple postdoctoral positions and frequent relocations. Additionally, the salary prospects in France for academic roles were not as competitive as I had hoped. I found myself more passionate about working with data tools and applying my skills in a practical, industry-focused environment.
What advice do you have for someone getting their PhD and looking to pursue a career outside of academia?
Effectively communicate skills: PhD students often underestimate how to present their skills to employers. Most necessary skills are already present and just need to be reframed for industry expectations. If some skills are missing, emphasize your ability to learn quickly and adapt.
Maintain strong academic connections: Keeping good contacts within academia is highly valuable. Establishing partnerships between your company and universities or academic labs can benefit both sides. Bringing these connections into your new role can enhance collaboration and innovation.
Adapt to industry pace and pragmatism: Transitioning to a corporate environment means working under tighter deadlines and with limited resources. It’s important to develop a pragmatic approach and adapt to the quicker pace while maintaining the rigorous standards you learned in academia.
Bonus Tip: Online presence and visibility are important (e.g. LinkedIn profile, website, github account etc.).
Are there any components of your identity you would like to share, including how they have impacted your journey?
A key part of my identity, I think, is the "I can always learn" mindset. It has helped me adapt to new challenges and acquire diverse skills, like mastering data analysis tools and learning Python during my PhD. In industry, this mindset allowed me to quickly contribute to new projects outside my original field, whether driven by curiosity or the need for specific skills.