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EURAXESS

Academic Researcher (m/f/d) in the field of artificial intelligence for Digital Green Tech

25/01/2023

Job Information

Organisation/Company
Clausthal University of Technology
Department
Institute for Software and Systems Engineering
Research Field
Computer science
Researcher Profile
First Stage Researcher (R1)
Country
Germany
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
39:48
Offer Starting Date
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

Academic Researcher (m/f/d)
(EG 13 TV-L, 100%, Service location: Clausthal-Zellerfeld und Goslar)

The Institute for Software and Systems Engineering (ISSE) of the University of Technologies Clausthal is hiring as of now a

academic researcher in the field of artificial intelligence for Digital Green Tech

 (if the personal requirements are fulfilled EG 13 TV-L)

at first for a 2,5-year duration. The job offer is basically part time suitable.

 

During the duration of the position it is possible to strive for a PhD. The at the Institute for Software and Systems Engineering (ISSE) located Research Group Digitized Green Tech focusses on the design and the development of digital solutions to shape a sustainable future.

 

A more detailed summary of our research fields can be found on:

https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digiti… excellent Network on international and national basis offers a perfect start for a scientific or industrial carrier!

During your position at the institute you will be working in the field of image-based damage detection of products and will participate in the conception of sensor-aided Digital Twins to evaluate product life cycles.

Your tasks are:

  • Requirements Engineering, conception and documentation for digital twins
  • Research regarding the usage of monitoring technologies
  • Conception of systems for decision-making
  • Publication of research papers on national and international basis
  • Support for the preparation and conduction of university courses  

The Payment is directed after the collective agreement of the public service (TV-L).

 

We are looking forward to your application. Please feel free to contact us if you have any further questions.

You can send your application until the 28.02.2023 documents in a single pdf file to dominique.fabio.briechle@tu-clausthal.de and marit.elke.anke.mathiszig@tu-clausthal.de  The University of Technology Clausthal strives to increase the proportion of under-represented gender groups in the specialist areas. We therefore welcome applications from the underrepresented group. The Equal Opportunities Office provides further information (Tel.: 05323-72-3106). Severely disabled people are given preference if they are equally suitable. Proof must be attached. Applications from people of all nationalities are welcome.

Please note our information on data protection in the application process at: https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren. Submitted application documents will be destroyed after completion of the selection process in compliance with the legal provisions.

Requirements

Research Field
Computer science
Education Level
Master Degree or equivalent
Skills/Qualifications
  • Good academic degree (M.Sc.) in Computer Science, Digital Technologies or other Data Science related study program
  • Open for diverse tasks and exciting topics in the field of Digital Green Tech
  • Structured way of working and fast comprehension of new issues
  • Joy in working in an academic context
  • Good knowledge of different programing languages like Python, R, C++, Java or C#
  • Good knowledge in the field of object orientation and sufficient knowledge of the UML
  • Good skills in English (minimum B2 level)
Specific Requirements
  • Knowledge in additional fields of data science
  • Initial experience in cloud computing
  • Skills regarding the usage of libraries like OpenCV, Keras or Tensorflow
  • Knowledge in the field of project management
  • German language level B2
Languages
GERMAN
Level
Good
Languages
ENGLISH
Level
Good
Research Field
Computer science

Additional Information

Benefits
  • Working in a family friendly and collegial environment with dedicated team members and exciting tasks
  • Working in industry-near research projects
  • homeoffice
  • Lounge area and coffee flat
  • Frequent coachings and seminars for further education
Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Clausthal University of Technology
Country
Germany
State/Province
Lower Saxony
City
Clausthal-Zellerfeld
Postal Code
38678
Street
Arnold-Sommerfeld-Straße 1
Geofield

Where to apply

E-mail
dominique.fabio.briechle@tu-clausthal.de

Contact

State/Province
Niedersachsen
City
Clausthal-Zellerfeld
Street
Arnold-Sommerfeld-Straße 1
Postal Code
38678
E-Mail
dominique.fabio.briechle@tu-clausthal.de
marit.elke.anke.mathiszig@tu-clausthal.de