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-specific 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. The Planning and Allocation Committee, PAC for short, is involved in the selection of topic-specific calls.

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

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. For ERS projects carried out in collaboration with strategic partners, for example within JARA, partners are expected to provide matching funds.

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.

Prep Fund

ERS Prep funds aim to enable researchers to overcome existing hurdles or limitations such as scientific challenges or technical difficulties for achieving mid- to long-term strategic research goals. Prep Funds can vary in size and duration according to the needs of the specific project. Prep Funds are awarded competitively following periodic calls. The criteria are (i) identification of a gap in an area of high strategic importance, (ii) definition of project goals to close this gap, (iii) description of tangible deliverables.

FAQ Project Funding

ERS Prep Fund Call 2020

ERS Prep Fund Call: Coal Phase-Out

PFKA007 – Prozessmodellierung der industriellen nachhaltigen Polymerisation von Lactid zum bioabbaubaren Polymer PLA unter Verwendung nicht-toxischer Katalysatoren

Applicants

Prof. Sonja Herres-Pawlis
IAC – Institute of Inorganic Chemistry
Prof. Andreas Jupke
AVT Fluid Process Engineering

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ERS Project Support

Call for Proposals

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FAQ Project Funding

ERS Prep Fund Call 2020

ERS Prep Fund Call: Coal Phase-Out

PFKA007 – Prozessmodellierung der industriellen nachhaltigen Polymerisation von Lactid zum bioabbaubaren Polymer PLA unter Verwendung nicht-toxischer Katalysatoren

PFKA008 – Cluster 4 Plastics Recycling

PFKA006 – Quantifizierung der regionalwirtschaftlichen Effekte durch den Ausstieg aus der Kohleverstromung im Rheinischen Revier

PFKA010 – Prep for Innovation: Reallabor Nivelstein

PFKA009 – Attract-hc: Attracting human capital for the Rhenisch mining area through comfortable, healthy, and productivity-enhancing indoor environmental spaces

PFKA003 – REVIERa – RWTH Transformation Platform

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 2020

Seed Fund – RWTH Start Up

StUpPD365-20 – Magnetic colloids for reconfigurable ferromagnetic materials

StUpPD383-20 – Lens Theory in Assessment Centers

StUpPD363-20 – ProtoBiome; In-depth functional analysis of the proteolytic enzymes within the mammalian gut

StUpPD371-20 – Evaluation of Chemical Toxicity on Chinese Hamster Ovary Cells by Online Monitoring of the Respiration Activity

StUpPD361-20 – Systematische Entwicklung konsistenzsichernder Digitaler Zwillinge

StUpPD370-20 – SEALASTINS: Surgical elastin-like sealants

StUpPD373-20 – Development of Pavement Surface Materials with Sensing-Capabilities for Application in Intelligent Transportation Systems

StUpPD377-20 – LiTronic - Lithium-Ion Cells with integrated Electronic

StUpPD380-20 – Identification and characterization of components of the mTORC signaling pathway in Plasmodium falciparum gametocytes

StUpPD384-20 – Explaining deep neural network based text classifiers

StUpPD385-20 – Towards thermal conductance measurements as a probe for topological states in two-dimensional quantum systems

StUpPD372-20 – The Impact of Predictability on Language Switching

StUpPD362-20 – Assigning sense to the long antisense RNAs of the barley powdery mildew pathogen

StUpJP052-20 – Geschaltete Kaskadenreaktionen mittels Carbentransferreaktionen

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