ESF PhDs

In 2024, a total of 12 collaborative PhD programmes at Mittweida University of Applied Sciences will receive funding from the European Social Fund (ESF Plus).
Funding will commence on 1 June 2024, 1 July 2024 or 1 September 2024

Topic: smFRET-based integrative modelling of non-coding ribonucleic acids: High-throughput characterisation of RNA sequence- and motif-dependent interactions of various fluorescent dyes at the single-molecule level and their influence on structure prediction. PhD
candidate: Mara Henschel
Supervisor: Prof. Dr. habil. Richard Börner
Faculty: Engineering
Partner university: TU Dresden

Topic: Mapping History: Leveraging AI and World Maps for Multidimensional Insights – Investigating the potential applications of world maps and artificial intelligence for the visualisation and analysis of historical phenomena PhD
candidate: Mona Wiebke Urban
Supervisor: Prof. Dr Marc Ritter
Faculty: Applied Computer Sciences and Biosciences Partner
university: Chemnitz University of Technology

Topic: Career reorientation later in working life – Conditions for the success of uncertain transitions PhD
candidate: Claudia Reiche
Supervisor: Prof. Dr Stephan Beetz
Faculty Social Sciences:
University of Leipzig

Topic: Improving object tracking in multi-camera environments for forensics and real-time alerts: A critical evaluation of existing approaches PhD
candidate: Dominik Breck
Supervisor: Prof. Dr Christian Roschke
Faculty: Applied Computer and Life Sciences
Partner university: Chemnitz University of Technology

Topic: Ciao Varroa – Genome-wide genetic association studies in honey bees (Apis mellifera spp.) with a view to breeding for Varroa resistance PhD
candidate: Tom Schmidt
Supervisor: Prof. Dr. habil. Röbbe Wünschiers
Faculty: Applied Computer Sciences and Biosciences
Partner university: University of Leipzig

Topic: Spontaneous recovery processes in crystal meth addiction and the significance of the social network PhD
candidate: Katrin Naumann
Supervisor: Prof. Dr Barbara Wedler
Faculty Social Sciences:
University of Hamburg

Topic: AI-driven game analytics: How can adaptive AI help to better achieve learning objectives? PhD
candidate: Thinh Duc Tran
Supervisor: Prof. Dr Marc Ritter
Faculty: Applied Computer Sciences and Biosciences Partner
university: Chemnitz University of Technology

Topic: Knowledge integration in AI for robust and efficient AI models and resource-efficient learning behaviour – sustainable AI PhD
candidate: Magdalena Pšeničkova
Supervisor: Prof. Dr. habil. Thomas Villmann
Faculty: Applied Computer and Life Sciences
Partner university: Bielefeld University

Topic: AI models for complex and heterogeneous data structures under limited resources – sustainable AI PhD
candidate: Subhashree Panda
Supervisor: Prof. Dr. habil. Thomas Villmann
Faculty: Applied Computer Sciences and Biosciences Partner
university: University of Bielefeld

Topic: Statistical methods and mathematical models for ‘molecular surveillance’ of HRP2/3 gene deletions and drug resistance in malaria PhD
candidate: Loyce Kayanula
Supervisor: Prof. Dr. habil. Kristan Schneider
Faculty: Applied Computer and Life Sciences
Partner university: Chemnitz University of Technology

Topic: The ‘State Treaty on Media Reform’ – between information and entertainment. A comparative analysis of the State Treaty on Media Reform and the programming reality of public service broadcasting PhD
candidate: Phillipp Funccius
Supervisor: Prof. Dr. Markus Heinker
Faculty Media Sciences: Partner
university: Babeș-Bolyai University, Cluj-Napoca

From 1 June 2024, the European Social Fund (ESF Plus) will provide funding for a collaborative industrial research project at Mittweida University of Applied Sciences on the following topic:

Topic: Investigation of the evidence for criminal psychological risk indicators of continued sexual offending in forensic data as a basis for the development of a rapid test to prioritise digital evidence PhD
candidate: Lukas Jaeckel
Supervisor: Prof. Dr Dirk Labudde
Faculty: Applied Computer Sciences and Biosciences
Partner university: TU Bergakademie Freiberg
Partner company: FZ forensic.zone GmbH

From 1 June 2023, a total of eleven collaborative PhD programmes at Mittweida University of Applied Sciences will receive funding from the European Social Fund (ESF Plus). 
In collaboration with Bielefeld University, Chemnitz University of Technology, Bielefeld University, the University of Weimar, the University of Cologne and the Doctoral Centre for Applied Computer Science (PZAI), the following research topics will be addressed:

Topic: Analysis and prediction of the evolutionary molecular-biological development of pandemic pathogens using AI methods PhD
candidate: Lynn Reuss
Supervisor: Prof. Dr. habil. Thomas Villmann
Faculty: Applied Computer and Life Sciences
Partner university: University of Bielefeld

Topic: The spread of hate on social networks and the determination of dynamic toxicity PhD
candidate: Florian Meyer
Supervisor: Prof. Dr Dirk Labudde
Faculty: Applied Computer Sciences and Biosciences Partner
university: University of Cologne

Topic: A contribution to the fusion of radar and camera sensor data for the detection of object trajectories in industrial environments PhD
candidate: Kevin Blümel
Supervisor: Prof. Dr Michael Kuhl
Faculty Engineering Sciences Partner
university: Chemnitz University of Technology

Topic: Digital skills in social work practice and their teaching within degree programmes
PhD candidate: Friederike Haubold
Supervisor: Prof. Dr Isolde Heintze
Faculty Social Sciences Partner
university: Chemnitz University of Technology

Topic: Development of an interactive AI sandbox modelled on the Mittweida University of Applied Sciences campus for use in research-based teaching PhD
candidate: Alexander Kühn
Supervisor: Prof. Dr Marc Ritter
Faculty: Applied Computer and Life Sciences
Partner university: Chemnitz University of Technology

Topic: Processing of heterogeneous data structures and sequence data in complex AI systems, incorporating robust, interpretable AI models PhD
candidate: Thomas Davies
Supervisor: Prof. Dr. habil. Thomas Villmann
Faculty: Applied Computer and Life Sciences
Partner university: Bielefeld University

Topic: Computer Vision Anti-Cheat – A new approach to preventing cheating in video games
PhD candidate: Oliver Seidel
Supervisor: Prof. Dr Marc Ritter
Faculty: Applied Computer Sciences and Biosciences Partner
university: Chemnitz University of Technology

Topic: Automated creation of a person-specific rig for the identification of individuals in video footage PhD
candidate: Sabine Richter
Supervisor: Prof. Dr Dirk Labudde
Faculty: Applied Computer and Life Sciences
Partner university: Doctoral Centre for Applied Computer Science (PZAI)

Topic: Social Journalism First? An investigation into the potential, processes and products of social media integration in German media companies PhD
candidate: Julia Walter
Supervisor: Prof. Dr Janis Brinkmann
Faculty Media Sciences: Partner
university: University of Weimar

Topic: Strategic Concept for the Implementation of Sustainability in Saxony’s SME Sector – Current Status, Offerings and Needs PhD
candidate: Susann Siegel
Supervisor: Prof. Dr Thoralf Gebel
Faculty: Business Engineer
Partner university: Chemnitz University of Technology

Topic: Human–Machine Interaction – On the Development and Empirical Investigation of an Intelligent Assistance System for Process Innovation within German Newsrooms PhD
candidate: Anna Marie Gorski
Supervisor: Prof. Dr Janis Brinkmann
Faculty Media Sciences Partner
university: University of Weimar

From 1 June 2023, the European Social Fund (ESF Plus) will be funding a collaborative industrial PhD programme at Mittweida University of Applied Sciences on the following topic:

Topic: Production of free-form curable structures through in situ carburisation in the selective laser melting
process PhD candidate: Andreas Kotsch
Supervisor: Prof. Dr André Streek
Faculty: Engineering Sciences / Laser Institute, Mittweida University of Applied Sciences Partner
university: TU Bergakademie Freiberg Partner
company: KOBRA Formen GmbH

From 1 October 2019, the European Social Fund (ESF) will be funding a total of seven collaborative PhD programmes at Mittweida University of Applied Sciences. In collaboration with Bielefeld University, Chemnitz University of Technology, Freiberg University of Technology and Bielefeld University, the following research topics will be addressed:

Topic: Sustainable development of digital learning resources using the open innovation approach in school, academic and vocational education
Supervisor: Prof. Dr. rer. pol. André Schneider 

Topic: The impact of Industry 4.0 on facility management – the development of a reference model for support processes in small and medium-sized enterprises
Supervisor: Prof. Dr.-Ing. Bert Schusser 

Topic: Orderings of the vertex set of graphs and their application to the analysis of complex communication networks
Supervisor: Prof. Dr. rer. nat. Peter Tittmann 

Topic: Polynomial variants of graphs and the enumeration of vertex-induced subgraphs with applications to the structural analysis of networks
Supervisor: Prof. Dr. rer. nat. Peter Tittmann

Topic: Statistical methods for surveying biodiversity and genetic diversity in a spatial and temporal context
Supervisor: Prof. Dr. rer. nat. habil. Kristan Schneider 

Topic: Machine learning for robust classification using prototype-based learning methods for big data in technical systems
Supervisor: Prof. Dr. rer. nat. habil. Thomas Villmann 

Topic: Machine learning for probabilistic models of prototype-based learning in the context of big data
Supervisor: Prof. Dr. rer. nat. habil. Thomas Villmann
 

From 1 September 2018, the European Social Fund (ESF) will be funding a total of five collaborative PhD programmes at Mittweida University of Applied Sciences. Three research topics are being pursued in collaboration with the University of Bielefeld, the University of Leipzig, Chemnitz University of Technology and Dresden University of Technology:

Topic: Prof. Dr. rer. nat. Dirk Labudde
Supervisor: Forensic-anthropological investigations of individual age using imaging techniques, based on the example of late antique, medieval and modern skeletal material

Topic: Prof. Dr. rer. nat. habil. Thomas Villmann
Supervisor: Machine learning for efficient data classification using resource-constrained models of prototype-based learning within the context of Big Data

Topic: Prof. Dr. rer. nat. habil. Stefan Busse
Supervisor: Focus on experienced practitioners and beginners. The professionalisation of workplace counselling through Supervision and Coaching. An empirical study of supervisory practice

Topic: Prof. Dr. rer. pol. Ulla Meister
Supervisor: The impact of digitalisation on entrepreneurs and their perception of opportunities

Topic: Prof. André Schneider
Supervisor: An investigation into the success factors of interactive and collaborative innovation processes in Saxon SMEs

From 1 July 2017, the European Social Fund (ESF) will be funding two collaborative PhD programmes at Mittweida University of Applied Sciences. In collaboration with the Technical University of Freiberg and the Technical University of Dresden, two research topics will be addressed:

Topic: Design of models, measures and algorithms for the evaluation of the topology of complex networks with regard to their reliability and security
Supervisor: Prof. Dr. rer. nat. Peter Tittmann

Topic: Development of methods for the genome-based analysis of microorganisms in bioaerosols
Supervisor: Professor Dr rer. nat. habil. Röbbe Wünschiers

From 1 July 2017, the European Social Fund (ESF) will be funding a collaborative industry-based PhD programme at Mittweida University of Applied Sciences on the following topic:

Topic: Acceptance criteria and scenarios in the energy and raw materials sector from spatial, political and industrial-cultural perspectives, examined at three selected companies of different types and from different regions in the Free State of Saxony
Supervisor: Prof. Dr. phil. Ludwig Hilmer (Mittweida University of Applied Sciences, Faculty Media Sciences), Prof. Dr. Carsten Drebenstedt (Freiberg University of Technology) and MIBRAG AG

From 1 August 2016, the European Social Fund (ESF) will be funding a collaborative PhD programme at Mittweida University of Applied Sciences. In collaboration with TU Dresden, the following research topic will be addressed:

Topic: Ontology-based simulation of complex cellular processes using diabetes insipidus
as an example Supervisor: Prof. Dr. rer. nat. Dirk Labudde

From 1 September 2015, the European Social Fund (ESF) will be funding four collaborative PhD programmes at Mittweida University of Applied Sciences. In collaboration with the TU Bergakademie Freiberg and TU Dresden, four research topics will be addressed:

Topic: Analysis and optimisation of the reliability of communication networks and complex systems, taking flow requirements into account.
Supervisor: Prof. Dr. rer. nat. Peter Tittmann

Topic: Stability of solid-state rolling properties in ADI under cyclic loading
. Supervisor: Prof. Dr.-Ing. Peter Hübner

Topics: Generic description of structural motifs in proteins and omics-based process optimisation of light-driven hydrogen production using Rhodobacter sphaeroides
. Supervisors: Prof. Dr. rer. nat. Dirk Labudde and Prof. Dr. rer. nat. Röbbe Wünschiers