PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control.We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Renewables & Sustainability, Space, Aerospace, Medical Devices, Additive Manufacturing and Energy. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, or increasing the performance of wind turbines. Position Overview:In 2024 we have experienced incredible growth and are now looking for a second member of the Talent Team to continue to expand. Working collaboratively across all verticals of the business, you will help create a frictionless end-to-end recruitment effort and a positive candidate experience. This role is a great for someone wanting to jump into start-up talent acquisition in a high-paced and very friendly and supportive environment.
What you'll do
Assist in managing the end-to-end recruitment process, including job postings, candidate screening, interview scheduling, and offer preparation.
Coordinate and communicate with candidates and hiring managers to ensure a smooth interview process.
Maintain and update our Applicant Tracking System (ATS) with accurate candidate information and status updates.
Ensure a positive and engaging candidate experience from application through onboarding.
Assist in sourcing and identifying potential candidates through various channels, including job boards, social media, and networking events.
Conduct initial phone screens to assess candidate fit and interest
Help with branding activities such as blog posts, events, and maintaining social media
What the ideal candidate looks like
1-2 years of experience in recruitment, HR, or a related field is preferred,
Strong communication and interpersonal skills
High attention to detail and a proactive approach to problem-solving
Ability to work effectively both independently and as part of a team
Ability and interest to work with quantitative data
A positive attitude and a willingness to learn and grow within the role
High interest in technology and AI would be desirable
What we offer
Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of
Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here
Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
Work sustainably, striking the right balance between work and personal life.
Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events
Work in a flexible setting, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
