ERS funded projects are initiated through two approaches. In the open calls, researchers can submit proposals for funding for projects from all RWTH research areas. These projects should aim at identifying and developing new interdisciplinary fields of research.

The topic-oriented calls are for funding projects in fields of research which serve to further develop strategically important research focuses at RWTH. As a result, profiile areas of the university that have already been established are further defined and expanded.

Calls are published at least eight weeks before the submission deadline in an email to all RWTH professors and on the ERS website.

Seed Fund

The seed funding helps researchers pursue new ideas in an interdisciplinary team. The objective is to enable initial publications on the topic and the acquisition of external funding. Projects run for an average of six to twelve months.

Calls are generally published every year. Proposals are submitted via the ERS portal. All proposals that fulfill the formal requirements go through a defined selection process. At the end of the process the ERS selection committee composes a list of nominees to be confirmed by the Rector's Office.

237 projects have been funded thus far with a total volume of 9.1 million euros.

FAQ Project Funding

FAQ Application (pdf: 405 kb)

ERS Prep Fund Call 2019

ERS Prep Fund Call: Simulation and data Science

PFSDS004 – Einsatz künstlicher Intelligenz zur Knorpelforschung

Applicants

Gözde Dursun
Chair and Institute of General Mechanics
Professor Marcus Stoffel
Chair and Institute of General Mechanics
Hannah Lena Siebers
Orthopaedic Clinic, Uniklinik RWTH Aachen
Dr. Jörg Eschweiler
Orthopaedic Clinic, Uniklinik RWTH Aachen

Professors in Charge of the Research Group

Professor Dr.-Ing. Marcus Stoffel
Chair and Institute of General Mechanics
Professor Dr. med. Björn Rath
Orthopaedic Clinic, Uniklinik RWTH Aachen

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ERS Project Support

Call for Proposals

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FAQ Project Funding

ERS Prep Fund Call 2019

ERS Prep Fund Call: Simulation and data Science

PFSDS004 – Einsatz künstlicher Intelligenz zur Knorpelforschung

PFSDS005 – Identifying Interpretable Subgroups with Exceptional Structural Relations in Big Datasets

PFSDS006 – Intelligent Finite Elements for Structural Dynamics

PFSDS015 – iStrainML: Improving Strain Engineering by Machine Learning

PFSDS022 – Adjoint-Based Adaptive Sampling for Optimized Data Synthesis in Flow Control Applications

PFSDS023 – MINERALS: Machine learning training set for virtual microscopy

PFSDS025 – From Big Data to Process Insight - Remote Sensing Based Model Selection for Natural Hazards Modeling

PFSDS026 – Data science based wear prediction

ERS Prep Fund Call: Life Science

PFLS003 – Etablierung einer CLARITY-Plattform für die Aachener Lebenswissenschaften

PFLS004 – Long non-coding RNAs in gene-environmental interactions

PFLS008 – Development of mucus-degrading enzyme coatings for airway stents

PFLS009 – Hyperthermia convertible chromophores for fluorescence imaging

PFLS010 – Magnetic field-assisted bioprinting for the fabrication of three-dimensional in vitro tissue models

PFLS011 – Ultrathin nanofiber as basement membrane mimic for maintenance of a non-inflammatory endothelial phenotype

PFLS012 – Automatisierung des stimulierten Geneditings durch Elektroporation am Beispiel von Pseudomonas putida

PFLS015 – MEPA - Microbial Evolution of Protein Allocation

Approved Seed Fund Projects 2019

Seed Fund – Neuro-Inspired Computing

neuroIC001 – NeuroModelingTalk (NMT) – Approaching the complexity barrier in neuroscientific modeling

neuroIC002 – Recurrence and stochasticity for neuro-inspired computation

neuroIC003 – Variability of Neural Graph Embeddings

neuroIC005 – From Data to Treasure Maps in Materials Science: A Case Study for Data Driven Hypothesis Generation and Evaluation

neuroIC006 – Silicon Synapse

neuroIC007 – Towards Increasing the Connetivity in Artificial Neuronal Networks

Open Seed Fund

OPSF496 – Translational Tumor Medicine: From chemical hits to new potential clinical candidates and their bioactivities

OPSF497 – Groundwater treatment through nitrate reduction in two-chamber microbial fuel cells

OPSF500 – Peeking inside the black box of day-to-day challenges in Interdisciplinary Collaborations (PIC)

OPSF503 – Mapping intergroup violence: Behavioral motivations and brain activation in intergroup conflict

OPSF505 – Actuating hydrogel to mechanically direct stem cell fate

OPSF506 – Multiskalen-Modellierung der Fluid-Struktur-Interaktion in umformenden Fertigungsverfahren

OPSF507 – Psychoakustik und subjektive Beurteilung drehzahlvariabler, hydraulischer Antriebe

OPSF510 – Characterization of short-range ordering in high entropy alloys

OPSF516 – Genome in a day

OPSF519 – Untersuchung und Optimierung der Randzoneneigenschaften bei der elektrochemischen Metallbearbeitung von Eisen-Aluminiden zur Verbesserung der Oxidationsbeständigkeit OREGANO

OPSF524 – Manufacturing of In-Volume Modifications in GaAs for Guidance of Photons Emitted by GaAs-Qubits

OPSF525 – Robust Energy Transition

OPSF527 – Intelligent Data Acquisition for Predictive Simulations of Natural Hazards due to Rapid Landslides

OPSF537 – UHPAM - Ultra High Performance Additive Manufacturing in Construction

OPSF544 – Photoredox: New light source for initiating photoredox catalytic polymerization reactions

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