Postdoc (f/m/d) AI-based consulting system for applied multiphase CFD simulations / Completed u[...]

European Commission; Deutschland; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Ein führendes Forschungszentrum in Deutschland sucht einen Postdoc für die Entwicklung eines KI-basierten Beratungssystems zur Anwendung von multiphase CFD-Simulationen. Der Postdoc wird Teil eines dynamischen Forschungsteams sein und an Dienstleistungen zur Verbesserung der Nachhaltigkeit und Energieeffizienz arbeiten. Die Position bietet ausgezeichnete berufliche Entwicklungsmöglichkeiten sowie eine sichere Anstellung mit konkurrenzfähigen Vergünstigungen.

Leistungen

30 Tage bezahlter Urlaub

Betriebliche Altersvorsorge

Flexible Arbeitszeiten und mobiles Arbeiten

Zahlreiche Angebote des betrieblichen Gesundheitsmanagements

Qualifikationen

• Abgeschlossenes Studium (Master oder PhD) in Data Science oder verwandtem Bereich.
• Starke Kenntnisse über recommender systems und damit verbundene Algorithmen.
• Ausgezeichnete Programmierkenntnisse in Python.

Aufgaben

• Einsatz von recommender algorithms für CFD-Simulationen identifizieren, implementieren und testen.
• Strategie zur Datenspeicherung und Aufbau einer leistungsfähigen Datenbank entwickeln.
• Entwicklung einer Performance-Metrik zur Bewertung von Modellkombinationen.

Kenntnisse

Kenntnisse in recommender systems

Python Programmierung

Machine Learning Methoden

Ausbildung

Master oder PhD in Data Science oder verwandtem Bereich

Jobbeschreibung

Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 14 Jul 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Area of research:

Scientific / postdoctoral posts

01.08.2025

Job description:Postdoc (f/m/d) AI-based consulting system for applied multiphase CFD simulations

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability, the energy efficiency and the safety of industrial processes.

The Department of Computational Fluid Dynamics is looking for a Postdoc (f/m/d) AI-based consulting system for applied multiphase CFD simulation.

We have developed a comprehensive database of computational fluid dynamics (CFD) simulation cases and are currently creating a performance matrix to evaluate CFD closure models. The over-arching goal is to conserve the experience gained with every CFD simulation. This data-driven approach allows us to apply machine-learning techniques to infer connections between the feature space of our CFD cases, closure models and the performance of their interaction, based on which a recommender system is developed to predict the best model set for new CFD cases.

# Identify, implement, test and ensemble suitable recommender algorithms (collaborative/content-based filtering etc.)
# Strategy to collect and store relevant data for the long-term built-up of a performance database (for the interaction between CFD case and CFD closure model)
# Development of a performance metric characterizing the speed of each model
combination (computed from the runtime statistics on our HPC cluster)
# Use multiple matrices (i.e. for accuracy, robustness and speed performance) for different
user needs to allow for a flexible usage of the recommender system application
# Development of a strategy for user feedback with given recommendations (explicit/implicit)

Your profile

# Completed university studies (Master or PhD) in the field of data sciences or related field
# Strong foundational knowledge about recommender systems and associated algorithms
# Experience with data retrieval and storage to build a sustainable dataset
# Out-of-the-box attitude to newly apply machine-learning methods to a natural science field
# Excellent programming knowledge in Python
# Excellent language skills (written + verbal English)

Our offer

# A vibrant research community in an open, diverse and international work environment
# Scientific excellence and extensive professional networking opportunities
# Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
# We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
# Numerous company health management offerings
# Employee discounts with well-known providers via the platform Corporate Benefits
# An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.