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Objective:
Systematic literature review and practical evaluation of existing scientific approaches to the precise definition of body joint points. You will examine how different disciplines define joint points and test selected methods in practice using 3D body scans.
Tasks:
- Comprehensive literature search in medical, anthropological, and sports science databases. - Analysis and comparison of different joint point definitions and measurement methods. - Practical testing of promising approaches on a sample of 3D body scans. - Evaluation of the reproducibility and accuracy of different definition methods
Skills:
- Systematic research skills in scientific databases
- Interest in anatomy and practical work with 3D models
- Experience with 3D software Blender or willingness to learn
- Basic understanding of “evaluation methodology”
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Practical validation of newly developed joint point definition methods through systematic testing on 3D body scans. You will check whether theoretically sound definitions are reproducible and precisely applicable in practice, and evaluate their suitability for biometric applications.
Tasks:
- Implementation of self-developed joint point definition rules in 3D software
- Systematic testing on a defined sample of body scans of different body types
- Conducting reproducibility studies (multiple marking of the same points)
- Quantitative evaluation of the accuracy and consistency of the definition methods
Skills:
- Interest in anatomical structures and systematic work
- Experience with 3D software or willingness to learn
- Basic understanding of statistical analysis
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
To investigate the reproducibility and consistency of joint point setting between different observers. You will apply the specified joint point setting to a larger sample of 3D body scans in order to evaluate the objectivity and reliability of the method.
Tasks:
- Performing feasibility tests on self-developed joint points
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Creation of structured, machine-readable documentation of all defined joint points with associated metadata. You will develop a standardized data format that is both understandable to humans and suitable for automated processing.
Tasks:
- Structuring joint point definitions into a uniform schema
- Developing metadata standards (anatomical position, measurement accuracy, applicability)
- Implementing machine-readable formats (JSON, YAML, or similar)
- Ensuring automatic readability and validation of the data structure
Skills:
- Systematic work with data structures and documentation standards
- Basic knowledge of programming for data processing
- Understanding of structured data management and metadata concepts
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Investigation of additional body characteristics such as body angle, shoulder inclination, or posture characteristics that go beyond basic body measurements. You will analyze whether these individual characteristics can contribute to improving person differentiation in 3D body scans and rigs and whether they are suitable as supplementary soft biometric features.
Tasks:
- Identification and definition of measurable individualizing features on 3D body scans. - Systematic measurement of these characteristics on a sample of different individuals. - Statistical analysis of the discriminatory power. - Comparison of measurability between 3D body scans and rig models. Skills: - Interest in anatomical features and individual body characteristics - Experience with 3D software such as Blender and 3D models or willingness to learn - Basic understanding of statistical analysis
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Investigation of additional body characteristics such as body angles or posture characteristics to improve person differentiation. You will analyze both continuous characteristics (e.g., angle measurements) and categorical properties, and also evaluate how well rig models represent these individual characteristics.
Tasks:
- Statistical analysis of the distributions of continuous individualizing features
- Frequency statistics for categorical features (characteristic types)
- Investigation of dependencies between different body features
- Comparative analysis: Agreement between real body scans and rig models
- Evaluation of the soft biometric suitability of various characteristics
- Identification of discriminating characteristics for distinguishing between individuals and evaluation of suitable vs. less suitable characteristics
- Calculation of threshold values and evaluation of the selectivity of individual characteristics
Skills:
- Statistical knowledge for quantitative and non-quantitative data analysis or a high willingness to learn
- Programming experience for data evaluation (Python/R) or willingness to learn
- Interest in individual body characteristics and posture features
- Basic understanding of soft biometric concepts
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Development of automated procedures for joint point setting (of the shoulder, etc.) based on clearly defined rules and geometric specifications. You will program algorithms that convert anatomical definitions (e.g., midpoint between two landmarks or intersection of body axes) into automatic point localization.
Tasks:
- Translation of anatomical joint point definitions into algorithmic rules
- Implementation of geometric calculations (auxiliary lines, planes, axes) in the 3D software Blender
- Development of constraints to avoid implausible point placements
Validation by comparison with manually set reference points
Skills:
- Interest in anatomy
- Programming experience
- Mathematical understanding of spatial geometry
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Manually mark joint points on target persons in 2D video recordings or images. You will create precise annotations that serve as the basis for biometric comparisons and learn about the practical challenges of joint point determination under real recording conditions.
Tasks:
- Systematic annotation of joint points in digital 2D recordings
- Documentation of uncertainties and problematic image areas
- Optional: Comparative analysis of different recording conditions (perspective, image quality)
Skills:
- Interest in anatomical structures and precise work
- Spatial awareness for 2D-3D relationships
- Systematic and documenting work
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Goal:
Develop an automated process for rigging 3D body scans without geometric distortions. You will create a system that automatically inserts skeletal structures into different body models while preserving the original proportions—for efficient animation of different body poses.
Tasks:
- Research and evaluation of various approaches to automatic rigging
- Implementation and testing of a selected method on body scan samples
- Evaluation of the results in terms of proportion preservation and animability
- Comparison with manual rigging in terms of accuracy and time required
Skills:
- Experience with 3D modeling and rigging concepts
- Programming skills for automation in 3D software, preferably Blender contact: Marie-Luise Heuschkel
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Development and implementation of automated methods for the precise localization of joint points in digital 2D images using gradient analysis and edge detection. You will expand manual annotation methods with algorithmic approaches based on brightness gradients and subpixel interpolation to accelerate and objectify joint point determination.
Tasks:
- Implementation of gradient-based edge detection (Sobel operator) for edge points. - Development of algorithms for determining the center of internal joint points. - Integration of subpixel interpolation for increased localization accuracy. Skills: - Programming experience in Python and libraries such as OpenCV, NumPy, for example.
- Basic understanding of image processing.
- Mathematical understanding of gradient calculation and interpolation
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Development of automated methods for annotating joint points on target persons in simulated 2D surveillance frames. You will program algorithms that automatically or semi-automatically detect and mark body contours and joint positions in the generated video recordings.
Tasks:
- Implementation of methods such as gradient-based edge detection for localizing visible body points
- Development of algorithms for hard-to-detect internal joint points
- (Integration of the methods into the frame generation workflow)
- Validation by comparison with manual annotations and ground truth data
Skills:
- Programming experience in image processing
- Basic understanding of body structures and joint positions
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
To construct digital 3D crime scene scenarios and generate controlled surveillance recordings for testing biometric matching procedures. You will create virtual environments with configurable camera systems that enable realistic test conditions for evaluating body pattern identification.
Tasks:
- Modeling virtual rooms and crime scene scenarios in 3D software (Blender)
- Configuring virtual camera systems with documented parameters (intrinsic, extrinsic)
- Positioning 3D body scans in the scenes and rendering images
- Documenting all technical parameters for reproducible test conditions
Skills:
- Experience with 3D modeling and rendering software (Blender) or willingness to learn
- Interest in technical photography and camera parameters
- Systematic work with technical documentation
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Develop a systematic method for comparing body patterns of 3D reference persons (from body scans) with body patterns of 2D target persons (from video recordings). You will create a complete workflow that makes both data sources comparable through spatial alignment and projection.
Tasks:
- Development of methods for superimposing 3D models on 2D images
- Implementation of forward projection for transforming 3D coordinates into 2D image space
- Programming of the alignment process with suitable distance measures
- Documentation of the workflow and testing on various data sets
Skills:
- Knowledge of 3D modeling and spatial visualization
- Programming experience for geometric transformations
- Mathematical understanding of projection and alignment methods
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Systematic evaluation of matching results to assess biometric performance. You will analyze how well the method distinguishes between individuals, determine threshold values, and quantify accuracy using statistical indicators.
Tasks:
- Analysis of the distributions of distance measures (RMSD/RWSD) in match and non-match comparisons
- Performing ROC analyses and determining optimal threshold values
- Calculating performance indicators (precision, recall, F1 score)
- Quantifying error rates (type I and type II errors) - Identifying discriminating/reliable matching features - Evaluating suitable vs. less suitable joints for matching - Validating against ground truth data from the simulation Skills: - Knowledge of statistics and biometric evaluation methods (ROC, precision/recall) or a strong willingness to learn
- Programming experience for data analysis (Python/R) or a willingness to learn
- Understanding of biometric procedures and forensic principles for interpreting results
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Investigation of the forensic significance of incomplete body patterns. You will systematically analyze how many and which joint points must be present at a minimum to enable reliable identification or narrowing down of individuals—relevant for cases involving concealed body parts or unfavorable camera angles.
Tasks:
- Systematic reduction of joint points and analysis of the remaining discriminatory power
- Determination of minimum feature sets for forensically usable statements
- Evaluation of various partial pattern combinations in terms of robustness and selectivity
Skills:
- Knowledge of statistics and experience with data analysis (R, Python) or a high willingness to learn
- Programming experience for data evaluation (Python/R) or willingness to learn
- Interest in systematic, comparative analyses and understanding of biometric concepts or willingness to learn
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Development of a dual-camera system for three-dimensional reconstruction of body points from simulated surveillance footage. You will create virtual crime scene environments and use stereophotogrammetry to calculate precise 3D coordinates of joint points and evaluate their accuracy compared to single-camera methods.
Tasks:
- Building virtual crime scene scenarios in 3D software
- Configuring dual-camera setups with defined distances and calibration
- Implementing triangulation algorithms for 3D point reconstruction
Skills:
- Digital anthropometric comparison with stereo data and validation against ground truth
Skills:
- Experience with 3D software Blender or willingness to learn
- Programming skills in Python/C++ (advantageous)
- Basic understanding of mathematics, stereophotogrammetry, and triangulation can be acquired
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Systematic investigation of the robustness of biometric body pattern matching under varying conditions. You will test how individual factors such as clothing, posture, or image quality affect the accuracy of personal identification and determine the limits of applicability.
Tasks:
- Planning controlled experimental designs with individual variation factors
- Performing systematic test series
- Implementing triangulation algorithms for 3D point reconstruction
- Quantitative analysis of matching performance under different conditions
- Derivation of suitability criteria and limits of application for forensic practice
Skills:
Experience with 3D software Blender or willingness to learn
- Basic understanding of experimental design and controlled studies
- Programming for data analysis (Python/R) (advantageous if available)
- Statistical thinking for comparative analyses; specific biometric indicators will be developed
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Systematic investigation of selected sources of error from the measurement process to the final calibration. You will quantify how influencing factors such as observer error (intra- and inter-observer), image quality, and others affect the comparison results and develop methods for separating measurement errors from actual person-specific differences.
Tasks:
- Quantification of intra-observer variability (repeatability of the same person)
- Quantification of inter-observer variability (differences between observers)
- Performing sensitivity analyses on various parameters (image quality, distance, pose)
- Development of a superordinate error model for the entire alignment process
- Modeling of error propagation from the measurement process to the alignment
Separation of measurement errors and person-specific deviations
Skills:
- Knowledge of statistics and experience with data analysis (R, Python) or a high willingness to learn
- Programming experience for data analysis (Python/R) or willingness to learn
- Understanding of measurement uncertainty and error propagation
- Systematic thinking for the identification of error sources
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
- Systematic research into existing forensic guidelines, standards, and quality assurance procedures for biometric methods. You will analyze the methodological, legal, and ethical requirements that apply to forensic biometric methods and whether and how these can be applied to digital anthropometric matching.
Tasks:
- Research forensic frameworks for biometric procedures (ISO, Daubert, ACE-V)
- Systematic extraction of validation and quality criteria from the standards
- Evaluation of the applicability of various frameworks to digital anthropometric matching
- Creation of a structured overview of suitable standards with justification for selection
Skills:
Systematic research skills in scientific (forensic, technical, and legal) literature
- Interest in standards, quality assurance, and forensic principles
- Analytical thinking for transferring general standards to specific applications
Internship / Thesis. Contact:
Marie-Luise Heuschkel
More about this thesis
Objective:
Concrete development of standard operating procedures and a practical application concept for the forensic use of digital anthropometric matching. You will (help to) create a framework suitable for application with clear work steps, quality criteria, and documentation standards.
Tasks:
- Development of a structured application concept with workflow and decision points
- Creation of standard operating procedures for all procedural steps
- Definition of suitability criteria and exclusion criteria for case material
- Development of checklists and documentation templates - Integration of quality assurance measures and validation steps
Skills:
- Systematic thinking for process development and standardization
- Interest in the practical implementation of forensic methods
- Understanding of quality assurance and documentation requirements
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Develop a strategic plan for the gradual implementation of digital anthropometric matching in forensic practice. You will create a realistic roadmap with specific milestones, resource requirements, and (necessary time) for practical implementation.
Tasks:
- Analysis of current technical and organizational requirements
- Development of a step-by-step plan with short-, medium-, and long-term goals
- Identification of necessary resources (personnel, hardware, software, training)
- Definition of milestones and success criteria for each implementation phase
- Creation of a risk management plan with fallback strategies
Skills:
- Strategic thinking
- Interest in the practical implementation of forensic methods
- Understanding of technical and organizational requirements
- Interest in the practical implementation of scientific procedures
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Systematic comparison of digital anthropometric matching with established biometric methods such as facial recognition, fingerprints, gait analysis, and DNA. You will analyze methodological similarities and differences and evaluate which proven principles and standards can be transferred to the new approach.
Tasks:
- Systematic analysis of established biometric methods in terms of methodology and standards
- Comparative evaluation of strengths, weaknesses, and areas of application
- Examination of the transferability of methodological approaches to digital anthropometric matching
- Classification into the category of image-based identification methods
Skills:
- Systematic thinking for comparative analyses
- Interest in various biometric methods and their forensic application
- Understanding of methodological transferability between different approaches
Internship / Thesis. Contact:
Marie-Luise Heuschkel
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Objective:
Development of systematic requirements for data sets and validation strategies for image-based biometric procedures. You will define the properties that data sets must have and develop methodological strategies for scientific evaluation under operating conditions.
Tasks:
- Development of a catalog of requirements for forensically usable data sets (variability, scenarios, documentation, etc.)
- Design of evaluation strategies (at various levels, such as controlled tests, realistic scenarios, practical use, e.g., according to ISO/IEC 19795-1)
- Development of solutions for the ground truth problem in uncontrolled environments. - Adaptation of forensic investigation processes (e.g., ACE-V framework) for anthropometric procedures. - Definition of quality criteria for repeatable and traceable results.
Skills:
- Understanding of scientific verification methods
- Systematic thinking for the definition of requirements
- Interest in methodological standards for image-based procedures
Internship / Thesis. Contact:
Marie-Luise Heuschkel
. Contact: Sabine Richter
. Contact: Sabine Richter
. Contact: Marie-Luise Heuschkel
. Contact: Marie-Luise Heuschkel
. Contact: Tommy Bergmann
. Contact: Tommy Bergmann
. Contact: Svenja Preuß
. Contact: Svenja Preuß
. Contact: Svenja Preuß
. Contact: Marie-Luise Heuschkel
. Contact: Felix Fischer
. Contact: Florian Meyer
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.)
- In the app (on rooted Pixel 7a)
- In the cloud
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Internship / Bachelor thesis. Contact:
Amon Bentke
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.)
- In the app (on rooted Pixel 7a)
- In the cloud
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Bachelor Thesis / Master Thesis. Contact:
Felix Fischer
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.)
- In the app (on rooted Pixel 7a)
- In the cloud
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Bachelor Thesis / Master Thesis. Contact:
Felix Fischer
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.)
- In the app (on rooted Pixel 7a)
- In the cloud
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Bachelor Thesis / Master Thesis. Contact:
Felix Fischer
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.)
- In the app (on rooted Pixel 7a)
- In the cloud
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Bachelor Thesis / Master Thesis. Contact:
Felix Fischer
More about this thesis
Tasks:
- Recording the final research status of the 'BoTox' project
- Transferring the results of model experiments to an existing web interface
- Finalizing further upcoming model training and experiments
Requirements:
- Programming skills in Python
- Knowledge of Docker
- Knowledge of AI language models and training
- Structured and methodical approach
- Organized literature Research
Master Thesis. Contact:
Florian Meyer
More about this thesis
Tasks:
Data collection with a smart toothbrush
Collect forensic traces:
- In the network (BLE, WiFi, etc.),
- In the app (on rooted Pixel 7a),
- In the cloud,
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Bachelor thesis / Master thesis. Contact:
Felix Fischer
More about this thesis
Tasks:
Data collection in air filters
Collect forensic traces:
- In the network (BLE, WiFi, etc.),
- In the app (on rooted Pixel 7a),
- In the cloud,
Classify/categorize forensic traces according to relevance
Requirements:
Basic knowledge of Linux/Android, structured and methodical approach, organized literature research
Master thesis. Contact:
Felix Fischer
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Tasks: Analyze MasterLock Vault Home App, examine the app in a virtual environment, collect forensic traces, classify / categorize forensic traces according to relevance
Requirements: Basic knowledge of Linux / Android, structured and methodical approach, organized literature research
Internship / Bachelor thesis. Contact:
Felix Fischer
More about this thesis
Tasks: Recording network traffic, analyzing network traffic, identifying weak points, documenting transmitted information, Bosch contact sensor, SwitchBot contact sensor
Requirements: Understanding of network communication, structured and methodical approach, organized literature research
Internship / Bachelor thesis. Contact:
Felix Fischer
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Tasks: Provision of software libraries C++, provision of hD2 microcontroller board, uniformly structure software libraries, establish compatibility of software libraries with each other, programming a demo program, developing new software libraries, improving code quality
Requirements: Programming knowledge (C++ is used), structured and methodical approach, organized literature research
Internship. Contact:
Felix Fischer
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Tasks: Drone is provided, based on the results of the master's thesis by Sebastian Storm, finalizing the remote control, suppressing reconnection of the original controller, integrating the camera feed
Requirements: Programming knowledge of Python, basic knowledge of networking, structured and methodical approach, organized literature research
Master thesis. Contact:
Felix Fischer
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Tasks: Custom keyboard is provided, modification of the open source software for script injection, creating demonstrations, summary for forensics
Requirements: Basic programming knowledge, structured and methodical approach, organized literature research
Internship / Bachelor thesis. Contact:
Felix Fischer
More about this job offer:
Sachbearbeitung (m/w/d) Cyberabwehr. Contact:
Kristin Beer
More about this job offer:
Staatsanwaltschaft Halle (Saale) (Zentralstelle zur Bekämpfung der Hasskriminalität im Internet). Contact:
Kristin Beer
More about this job offer:
Justiz des Landes Sachsen-Anhalt. Contact:
Kristin Beer
More about this job offer:
GICON® - Großmann Ingenieur Consult GmbH. Contact:
Kristin Beer