Aktuelle Jobs im Zusammenhang mit Data Science Research Associate - Augsburg, Bayern - Hochschule Augsburg
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Data Science Research Associate
vor 3 Monaten
About Hochschule Augsburg:
With a vibrant community of over 7,100 students and more than 600 staff members across teaching, research, and administration, Hochschule Augsburg plays a pivotal role in driving economic growth and fostering innovation in the region.
Position Overview:
Hochschule Augsburg is seeking a dedicated and innovative Research Assistant (f/m/d) / PhD Student for a full-time, fixed-term position. This role offers an exciting opportunity to engage in a diverse range of responsibilities within a dynamic data science team focused on pioneering data-driven advancements.
Your Responsibilities:
- Conduct research in the domain of Machine Learning & Generative AI.
- Publish findings in prestigious scientific journals and conferences.
- Assist faculty in establishing and maintaining both software and hardware systems, including local and cloud-based solutions.
- Contribute to the scientific and organizational framework of the Data Science degree program.
- Support professors in the planning and execution of courses and assessments.
- Independently lead practical exercises.
Your Qualifications:
- A completed master’s degree in a relevant field such as data science, mathematics, robotics, physics, statistics, or computer science.
- Strong knowledge of machine learning principles.
- Proficient in statistics and programming, particularly in Python.
- Experience with IT systems, including both software and hardware.
- A high level of personal initiative and accountability.
- Proficient in German.
What We Offer:
At Hochschule Augsburg, we prioritize a positive working environment characterized by open communication and mutual respect. We value your insights and expertise. Our institution actively promotes equality among all employees, welcoming applications from diverse backgrounds.
- A temporary position lasting up to 6 years with competitive remuneration based on qualifications, with a maximum salary in group EG 13 (TV-L).
- Engaging, varied, and challenging tasks within a collegial and supportive atmosphere.
- A centrally located workplace with excellent transport links.
- Access to modern work equipment.
- Comprehensive training and professional development opportunities.
- Flexible working hours and the possibility of remote work after training.
- Health management programs for employees.
We encourage all qualified individuals to apply and look forward to reviewing your application materials.