Software Developer
1 month ago
Job Summary:
We are seeking a highly skilled Software Engineer to join our team at the Centre for Quantum Mathematics at the University of Southern Denmark. As a Software Engineer, you will be responsible for designing, developing, testing, and maintaining full-stack applications using classical programming techniques, including machine learning and data analysis.
Key Responsibilities:
- Design and develop full-stack applications with a back-end utilizing classical programming techniques, including machine learning and data analysis, as well as a front-end GUI.
- Ensure the integration of front-end and back-end aspects of the application, focusing on performance and scalability.
- Develop and adapt the software solution to meet the specific needs of our clients, with ongoing updates addressing their specific feedback.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, or a related field.
- Strong foundation in full stack development with experience in Python, ideally with libraries like Pandas, PyTorch, and Tensorflow, and front-end frameworks such as React.
- Proven track record of successfully delivering software projects.
- Exceptional problem-solving skills and the ability to think creatively and innovatively.
- Self-motivated and capable of working independently as well as part of a team.
- Excellent English communication skills in both written and verbal forms.
About the Centre for Quantum Mathematics:
The Centre for Quantum Mathematics at the University of Southern Denmark is at the forefront of integrating quantum theory with mathematical innovation. Researchers at QM work on real-world applications that bridge the gap between abstract quantum mathematics and practical software solutions. Through the spin-out company, Qpurpose, we deliver cutting-edge solutions to our clients using classical computing, with the potential for future integration with quantum computing techniques.
What We Offer:
- An exciting opportunity to work at the cutting edge of data analysis, machine learning, and software engineering for real-world applications.
- A collaborative and supportive work environment that encourages innovation and creativity.
- Opportunities for professional growth.
- Access to state-of-the-art technology and resources.
How to Apply:
Please submit your application, including a cover letter, CV, and certificate, to [insert contact information]. All documents should be in Adobe PDF format, and the cover letter and CV should not exceed 5 Mb.
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