Doctoral Researcher (m/f/d) in the field of machine learning for Smart WaterFull PhD
- Working Language
- German, English
- Location
- Clausthal-Zellerfeld
- Application Deadline
- 15 Jan 2025
- Starting Date
- as soon as possible
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Overview
Open Positions
1
Time Span
as soon as possible for 3 years
Application Deadline
15 Jan 2025
Financing
yes
Type of Position
Full PhD
Working Language
- German
- English
Required Degree
- Diplom
- Master
Areas of study
Applied Computer Science, Computer Science, Engineering Informatics, Practical Computer Science, Software Engineering, Computer Engineering, Theoretical Computer Science, Information Systems and Management
Description
Description
We are looking forward, to fill a position, for the Research Group Machine Learned Models for Engineers (ML4E) at the Institute for Software and Systems Engineering (ISSE) at the TU Clausthal.
Doctoral Researcher (m/f/d)
in the field of machine learning for Smart Water
(Depending on your qualifications E 13 TV-L, 100%, Location: Clausthal-Zellerfeld)
The position is for the duration of three years in full-time. Part time is negotiable.
In the ML4E research group, we develop methods to support engineers and scientists through the use of machine learning. In the area of “Smart Water Cycles,” we focus on ML-based forecasting models for various water management applications. Today, we are already making significant contributions to predicting extreme events. A flagship project is our AI-based flood early warning system, which was awarded the “Climate Municipality 2024” prize.
Current research findings indicate that data-driven models based on innovative architectures, such as transformers or graph neural networks, hold great potential. This is where our work comes in. Use cases for these models include, as previously mentioned, the prediction of extreme events (e.g., from weather and remote sensing data) and applications in agriculture, where water resources need to be used efficiently (e.g., in field irrigation).
Your tasks include:
- Conducting research on approaches for using forecasting models in water-related applications in collaboration with our ML4E team
- Designing and implementing prototypes of these approaches
- Publishing your findings at national and international conferences
- Assisting with lecture preparation, supervising exercises, and supporting students
Your profile:
- Background in Software Engineering
- Academic degree (Master, Diplom) in the field of Computer Sciences, Informatics (of any kind), or similar
- Wish to conduct research and working on your PhD
- Experience in conceptualizing and implementing AI Systems
- Interest in the above-mentioned domains
- Excellent German skills
- Excellent English skills
We offer:
- A family-friendly working time model/ environment
- Possibility for personal growth as a researcher
- Cooperation with interdisciplinary teams and characters
- Cooperation within industry projects
- Handing in your Dissertation, working on your PhD
- Lounge Lab, Kicker and Social Events
Remuneration is based on the collective agreement for the public service of the federal states (TV-L). At the end of the year, the TV-L provides for a special annual payment. In addition, we offer a separate supplementary pension in the form of a company pension (VBL).
Equality with its facets of equal opportunities, diversity and family friendliness is an important concern at Clausthal University of Technology. People with disabilities are given priority if they are suitable. Applications from people of all nationalities are welcome.
We are looking forward to receive your application (one PDF File) till the 15.01.2025. Please send it to:
info@isse.tu-clausthal.de
Please do not hesitate to contact us if you have any questions.
We are glad to meet you!
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.
Application costs cannot be reimbursed. The application documents will be destroyed after completion of the selection process in compliance with legal requirements. requirements.
Required Documents
Required Documents
- Motivation letter
- CV
- Certificates
- Transcripts