Are you holding Master’s degree and looking for fully funded PhD positions? University of Stuttgart, Germany invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Textual Argument Mining and Emotion Analysis
Summary of PhD Program:
You will work in the project “The Interplay of Emotions and Convincingness in Argument Mining for NLP” (EMCONA) in which we study how people use emotions to make their argument convincing and what the effect is on the reader of arguments. Therefore, the project brings together NLP with emotion analysis and theories as well as argument mining.
The tasks of the successful candidate include the administration of an annotation effort, in which convincingness and various emotion attributes are annotated in a crowdsourcing setting. Based on this novel resource, the candidate will develop predictors for the emotional impact of arguments in combination with a convincingness estimators. The student will work together with Steffen Eger’s PhD student in the project who focuses, amongst other things, on argument generation.
Application Deadline: May 9, 2023
2. Fully Funded PhD Position in multimodal emotion analysis
Summary of PhD Program:
You will work in the project “User’s Choice of Images and Text to Express Emotions in Twitter and Reddit” (ITEM) in which we study how users in social media communicate their emotions. Particularly interesting for us is to understand how people choose to express themselves via text or images, and what the relation between these modalities is. To do so, we will develop annotated multimodal data sets via crowdsourcing and then develop multi-modal emotion classifiers.
One focus will be on the interpretation of described or depicted events and situations that cause emotions. Therefore, we will employ psychological appraisal theories in the computational modelling. The main task of the 3-year PhD. student position is to develop statistically, particularly deep neural network models based on transfer learning, that recognize emotion and appraisal concepts in text, images, and both together.
Application Deadline: May 9, 2023
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3. Fully Funded PhD Position in Machine Learning for Simulation Science
Summary of PhD Program:
The PhD project will be concerned with developing state of the art machine learning methods for understanding and modeling physical systems governed by differential equations. Examples of such physical are flows of liquids and many-body particle systems. Machine learning promises to accelerate science and engineering by making simulations of physical systems more efficient. The research project will also be concerned with the design and development of machine learning approaches that incorporate and respect physical constraints such as symmetries and conservations laws. The aim is to use machine learning not simply as a black box but as a tool for discovering interpretable, mechanistic models of complex physical systems.
Application Deadline: Apr 14, 2023
4. Fully Funded PhD Position in Systems Biology of Gene Expression
Summary of PhD Program:
A major focus in our group is heterogeneity at the single-cell level (e.g., Strasen et al., Molecular Systems Biology 2018; Fritzsch et al., Molecular Systems Biology 2018; Bohn et al., PNAS 2023). We study cell fate decision-making in health and disease using a combination of high-content imaging, single-cell RNA sequencing, and quantitative modeling.
The successful applicant will closely collaborate with colleagues within or outside the group to develop data-based models of cellular decision-making by working theoretically (RNA sequencing analysis, machine learning and quantitative kinetic modeling), experimentally (bulk and single-cell RNAseq, live-cell imaging and genome editing) or combining both approaches.
Application Deadline: May 14, 2023
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5. Fully Funded PhD Position in clean combustion of sustainable fuels
Summary of PhD Program:
The institute of combustion technology for aerospace engineering (IVLR) at the University of Stuttgart is an integrative unit of the DLR institute of combustion technology. The institutes host approximately 80 scientists plus a number of students from various fields of specialization to address research question of modern gas turbines. Thermal conversion of sustainable energy carriers, e.g. green hydrogen or ammonia, is a key element for the energy transition policy, while synthetic aviation fuels are without alternative for flights beyond mid-range distances.
We support this development with the competence fields computer simulation, chemical kinetics and analytics, combustion diagnostics, mass spectrometry, multi-phase flow and high-pressure combustion. Current research topics are instationary combustion, pollutant formation, spray combustion, alternative fuels and innovative combustor systems. In this context, we target fundamental research and transfer the results to technical applications.
Application Deadline: Jun 3, 2023
6. Fully Funded PhD Position in Ethics of Generative AI
Summary of PhD Program:
Within IRIS, Dr. Thilo Hagendorff will build a new research group with an envisaged starting date in early summer 2023. We aim to build a dynamic research group dedicated to exploring the ethical implications of AI, especially the ethics of generative AI, such as large language models (LLMs). Our team is passionate about understanding the behavior of these powerful models and ensuring that they align with ethical principles. Potential research questions the candidate would like to tackle are: emerging ethical implications of generative AI, empirically investigating machine behavior in LLMs, applying tools from psychology to investigate reasoning in LLMs, evaluating moral decision-making in LLMs, studying simulated group dynamics of LLMs interacting with each other, etc.
Application Deadline: Apr 14, 2023
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7. Fully Funded PhD Position in Digital Twin
Summary of PhD Program:
The Institute for System Dynamics is looking for highly motivated and excellent scientific employees for a publicly funded research project in cooperation with industrial companies in the field of virtual commissioning. The content of the research project is the construction of a digital twin based on dynamic simulations of robot-supported handling processes in real time. Model uncertainties are to be taken into account using identification methods, also based on data-driven approaches. The job requires a high degree of personal responsibility and offers you challenging and varied tasks in a pleasant working atmosphere. The opportunity for a doctorate is offered.
Application Deadline: Apr 24, 2023
8. Fully Funded PhD Position in control engineering and system dynamics
Summary of PhD Program:
The Institute for System Dynamics is constantly looking for highly motivated and excellent employees with a focus on control engineering and system dynamics for various research projects in the fields of mechatronics, process industry and medical technology. We offer a broad, interdisciplinary field of work with numerous practice-oriented industrial cooperations and projects in the field of basic research. The job requires a high degree of personal responsibility and offers you challenging and varied tasks in a pleasant working atmosphere. The opportunity for a doctorate is offered.
Application Deadline: Apr 24, 2023
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9. Fully Funded PhD Position in AI methods
Summary of PhD Program:
The Institute for System Dynamics is looking for highly motivated and excellent scientific employees for a publicly funded research project in cooperation with industrial companies in the field of pneumatic vacuum and drive technology. The content of the research project is the minimization of the energy consumption of pneumatic systems through the development of model and data-based approaches for process monitoring, adaptive control and system design/optimization using methods of artificial intelligence. The job requires a high degree of personal responsibility and offers you challenging and varied tasks in a pleasant working atmosphere. The opportunity for a doctorate is offered.
