Research assistant (m/f/d) Digital twins and AI for sustainable planning applications in North [...]

F03; Köln; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

A leading applied sciences university in Germany seeks a motivated individual to develop a digital twin for planning and decision-making. Candidates should possess a master's degree in relevant fields, practical experience with AI applications, and proficiency in programming languages like Python or C++. This role offers flexible working hours, telework options, and opportunities for further academic training. Applicants must exhibit strong communication, problem-solving skills, and have good German and English language proficiency.

Leistungen

Flexible working hours

30 days paid vacation

Family-friendly environment

Training and development opportunities

Qualifikationen

• Experience with deep learning frameworks for 3D or geodata.
• Very good German and good English skills.
• Independent and solution-oriented working style.

Aufgaben

• Develop a digital twin of North Rhine-Westphalia.
• Analyze and integrate geodata and aerial imagery.
• Establish a data processing pipeline for digital twins.

Kenntnisse

Artificial intelligence application

Communication skills

Problem-solving

Collaboration

Ausbildung

University degree (master's level) in relevant fields

Tools

Python

C++

PyTorch

TensorFlow

Jobbeschreibung

TH Köln is one of the most innovative universities of applied sciences and a member of the university alliance UAS 7. We offer 21,000 students and 1,000 academics from Germany and abroad an inspiring learning, research and work environment in the fields of engineering and humanities as well as social and natural sciences. TH Köln shapes social innovation - this is our approach to society’s challenges. Due to our interdisciplinary mindset and actions as well as our regional, national and international activities, we are a valued cooperation partner in numerous fields.

Responsibilities

• Development of a semantically segmented digital twin of North Rhine-Westphalia to support planning and decision-making processes in the areas of energy transition, mobility, and infrastructure
• Analysis, processing, and integration of geodata, aerial imagery and sensor data (e.g., ALS data, orthophotos, land cover data)
• Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data
• Establishment of a data processing pipeline for the efficient creation and updating of digital twins
• Conducting application studies to evaluate the benefits of the developed solutions for partners from administration, research and industry
• Collaboration with interdisciplinary project partners, especially in the context of sustainable planning and logistics applications
• Support in the preparation of reports, presentations and project results within the framework of third-party funded projects

Qualifications

• University degree (master's level); preferably in mechatronics, mechanical engineering, virtual product development, (geo)informatics or data science
• Experience in the practical application of artificial intelligence in planning, logistics, and infrastructure development
• Scientific research practice
• Ideally, experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and the processing of 3D or geodata
• In-depth knowledge of at least one programming language (e.g., Python, C++)
• Very good German and good English skills
• Independent, solution-oriented, and structured way of working
• Strong communication and cooperation skills

Benefits and Conditions

• Remuneration according to EG 13 TV-L (tariff agreement for the public servants of the federal states)
• A doctorate related to the project is possible and desirable
• Flexible working hours and telework options
• Family-friendly working environment and conditions
• A wide range of training and continuing education opportunities for your professional and personal development
• Insights into interdisciplinary research contexts and the opportunity for further academic training
• Option to participate in university sports and health promotion programs
• University events (e.g. lectures, staff outing, readings, etc.)
• Close to public transport
• Annual extra payment according to TV-L
• 30 days paid vacation with a 5-day work week

TH Köln is committed to providing equal opportunities and seeks to increase the proportion of women in research and teaching. Thus, applications from women are given preferential consideration in case of equal suitability. Applicants with disabilities and persons with comparable status are also given preference in case of equal suitability.