Job
- Level
- Experienced
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will conduct research in AI and Data Analytics, develop methods for optimizing production processes, and process large datasets while taking on responsibilities in research and teaching.
Job Technologies
Your role in the team
- We offer you the opportunity to prepare for your doctorate through challenging research and industrial projects.
- The thematic focus is on the area of "AI and Data Analytics".
- You will take responsibility from the very beginning and work in research, teaching, and industrial consulting with room for professional and personal development in a modern working environment.
- The Production Management group focuses on developing innovative methods for planning, controlling, and managing processes in industrial and circular supply chains.
This text has been machine translated. Show original
Our expectations of you
Education
- The prerequisite for employment is a completed university degree, preferably in Mechanical Engineering or Industrial Engineering.
Qualifications
- Furthermore, we expect the following qualifications:
- above-average academic performance
- independent and professional work approach as well as a high degree of initiative
- strong commitment and flexibility, excellent communication skills, and team spirit
- Interest in academic research, pursuing a doctorate, consulting for industrial companies, as well as preparing and conducting university teaching
- very good IT skills and solid programming knowledge (required: Python or other programming languages for analyzing large datasets)
Experience
- very good expressive skills, fluent German and very good English skills are prerequisites, international experience is desirable
- Previous experience in applying methods of artificial intelligence and machine learning in industrial applications is desirable
- Previous experience in preparing, analyzing, and interpreting large, heterogeneous data sets
This text has been machine translated. Show original
What we offer
- The position is fixed-term for 3 years, with the possibility of extension.
- Mobile working and home office are possible by arrangement.
- We support the reconciliation of family and work through services such as emergency childcare and holiday care, as well as parent-child offices, and provide individual advice on family and caregiving responsibilities.
- For the health and well-being of our employees, we offer a comprehensive sports program with over 100 sports, a fitness studio including a sauna, and a climbing hall.
- The goal of health management is to ensure a healthy workplace, for example through courses on stress management, healthy eating, and relaxation.
- Furthermore, at IFA, you can expect the following benefits: an attractive and modern working environment with excellent equipment, a dynamic team within a self-responsible organization with flat hierarchies, building an extensive network in science and industry, opportunities for professional and personal development, and a fully funded PhD position with all the advantages of enrollment as a doctoral student.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Leibniz Universität Hannover
The "Höhere Gewerbeschule zu Hannover" was founded in 1831 with just 64 students by Karl Karmarsch and is today, thanks to more than 25,000 students interested in the natural and engineering sciences, the humanities and social sciences as well as law and economics, one of the recognized university.
Description
- Founding Year
- 1831
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Research Assistant PhD Position Production Management Data Science
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
