Research associate Digital twins of urban green spaces with AI-based human-machine interaction (part time)

TH Köln - University of Applied Sciences, Germany

Updated: 4 months ago
Job Type: PartTime
Deadline: 24 Jan 2024

3 Jan 2024
Job Information
Organisation/Company

TH Köln - University of Applied Sciences
Research Field

Engineering
Researcher Profile

First Stage Researcher (R1)
Country

Germany
Application Deadline

24 Jan 2024 - 23:59 (Europe/Berlin)
Type of Contract

Temporary
Job Status

Part-time
Hours Per Week

19,915
Offer Starting Date

1 Mar 2024
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

TH Köln is one of the most innovative universities of applied sciences and a member of the university alliance UAS 7. We offer 23,500 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.

The project creates digital twins for urban green spaces, with AI-based human-machine interaction (e.g. ChatBot), in order to present complex relationships regarding site-specific climate and disaster prevention measures to decision-makers in a simplified manner.

 

as soon as possible | temporary up to 21.12.2026 | part time with 50% | Faculty of Process Engineering, Energy and Mechanical Systems | Campus Deutz

 


That awaits you
  • Modeling of information models for a digital twin for green spaces and their implementation in Industry 4.0 system architectures
  • Creation of a human-machine interface with which users can interact with the content of the digital twins
  • Implementation of software environments for the creation of digital twins and for the integration of sensor data from the field level into the digital twins
  • Development and implementation of AI models for processing semantic inputs and optimizing green space management
  • Monitoring the project milestones
  • Organizing and participating in specialist conferences and publications
  • Presentation of results at national and international events

Your skills
  • University degree (Master's level) in computer science, automation technology, process control engineering, communications engineering, electrical engineering, energy and building services engineering or similar
  • Basic knowledge of communication and information technologies
  • Ideally experience in data preparation and training of AI models
  • Knowledge of project management and organization desirable
  • Programming skills
  • Good knowledge of German or English
  • Analytical skills and creativity
  • Strong collaborative skills
  • Independent and reliable way of working

Our offer
  • Remuneration according to EG 13 TV-L (tariff agreement for the public servants of the federal states)
  • PhD with relation to the project is possible
  • Flexible working hours and telework options by individual arrangement
  • 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, summer party, etc.)
  • Close to public transport
  • Digital communication and work processes in your team
  • 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.
 
We look forward to receiving your application via our online application portal!
https://karriere.th-koeln.de/job/view/1095/research-associate-digital-t… -?page_lang=en
Application deadline: Jan 24, 2024
 
Your contact:
Corina Czaja
T: 0221-8275-5183
Requirements
Research Field
Engineering
Education Level
Master Degree or equivalent

Languages
ENGLISH
Level
Good

Languages
GERMAN
Level
Good

Research Field
Engineering

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
TH Köln - University of Applied Sciences
Country
Germany
City
Cologne
Postal Code
50679
Street
Betzdorfer Straße 2

Where to apply
Website

https://karriere.th-koeln.de/job/view/1095/research-associate-digital-twins-of-…

Contact
City

Cologne
Website

https://www.th-koeln.de/en/job-vacancies_17710.php
Street

Gustav-Heinemann-Ufer 54
Postal Code

50968
Phone

0049 221-8275-5183

STATUS: EXPIRED

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