Open Positions

Are you looking for a new Adventure? Join our Team!

Our goal at the Department Artificial Intelligence in Biomedical Engineering is to break the traditionally chair structures and create more collaboration and synergy within the department. Therefore, we are always looking for talented and motivated people who would like to join the team. No matter if you are a professor, a Phd student or a student assistant, every person counts as an important part of the team.

On this Page you will find all the latest career openings at AIBE, we are always on the lookout for highly qualified and motivated staff. Become Part of our team!


Administration Positions

Position in team assistance

Die zentrale Verwaltung des Departments wird weiter ausgebaut. Dabei möchten wir uns serviceorientiert und effizient aufstellen. Wir bieten ein attraktives und dynamisches Umfeld mit flachen Hierarchien und Team Spirit.
Für die folgenden Aufgaben suchen wir daher motivierte und engagierte Unterstützung.
Das Aufgabengebiet umfasst u. a.
• Allgemeine Sekretariatsaufgaben (Korrespondenz in Englisch und Deutsch, Terminplanung, Verwaltung von Dokumenten etc.)
• Personalverwaltung (z.B. Vorbereitung der Einstellungsverträge von Mitarbeitenden und studentischen Hilfskräften, Bearbeitung von Urlaubs- und Krankmeldungen, Personalaktenführung)
• Finanzverwaltung (Haushaltsmittel und Drittmittel, Geräteinventarisierung)
• Organisation, Antragstellung und Abrechnung von Dienstreisen
• Organisation von Veranstaltungen des Departments
• Verwaltung von Studienangelegenheiten
• Gästebetreuung
Notwendige Qualifikation
• Abgeschlossene kaufmännische Ausbildung, oder vergleichbare und entsprechende Berufserfahrung
• Gute Englischkenntnisse in Wort und Schrift
• Gute Kenntnisse der gängigen MS Office-Programme
• Berufsanfänger/Berufsanfängerinnen sind willkommen
Wünschenswerte Qualifikation
• Selbständige, engagierte und flexible Arbeitsweise und Arbeitseinteilung entsprechend den Anforderungen
• Sehr gute Organisations- und Kommunikationsfähigkeit, hohe Belastbarkeit, Aufgeschlossenheit gegenüber neuen Aufgaben, Teamfähigkeit
• Affinität zu digitalen Prozessen
• Gute Allgemeinbildung und ein qualifiziertes Verständnis im Umgang mit Zahlen
• Erfahrung im Bereich Buchhaltung
Bemerkungen
• Wir bieten ein attraktives Arbeitsumfeld mit vielseitigen Tätigkeitsbereichen und Entwicklungsmöglichkeiten in einem wachsenden Team.
• Homeoffice ist im Umfang von bis zu 50% möglich.
• Die Stelle ist zunächst auf zwei Jahre befristet. Eine Entfristung der Stelle ist möglich.
• Eine Beschäftigung in Teilzeit ist ebenso möglich.
Bewerbung
Bitte senden Sie Ihre Bewerbung als PDF an aibe-hr@fau.de

 

Mehr Informationen finden Sie Hier:

 

PhD Positions

PhD Positions in AR / Computer Vision / HCI

The Department Artificial Intelligence in Biomedical Engineering is seeking to hire a

Doctoral students

The newly established Human-Centered Computing and Extended Reality (HEX) Lab at Friedrich-Alexander University Erlangen-Nürnberg (FAU) invites applications for two positions, starting ~August 1st, 2022. Successful candidates will be embedded in a publicly funded project (subject to the approval of funds).
The HEX Lab is part of the Department Artificial Intelligence in Biomedical Engineering and the Department Computer Science at FAU. Our research centers around human-machine interfaces that improve the way we interact with, work with, and communicate through machines. Our research is situated in the area of (AI-driven) extended reality (AR, VR, MR) user interfaces in the context of physical and mental health.

About the project:
The project aim is to design and develop an AI driven assistive augmented reality system for surgical instrument manuals in the operating room using augmented reality and computer vision and thus support medical care. In close interaction with medical and industry experts, computer vision driven sensing and detection solutions as well as augmented reality visualizations and interfaces have to be developed. The overall goal is to support medical staff during surgical procedures with an assistive system. The project leaves sufficient room for the candidates to explore their own research ideas for their thesis and postdoc.
Perspectives and responsibilities:
PhD position candidates will get the chance to achieve their doctorate at FAU. Postdoc candidates will get the chance to pursue their habilitation/postdoctoral qualifications and to mentor PhD students. We encourage interdisciplinary collaborations and abroad visits.
Candidates are responsible to pursue the project’s research goals, and are expected to pursue and publish excellent research of the highest quality and to present their works at leading conferences.

Requirements:
● Master degree in Computer Science, HCI, Medical Engineering/related fields for PhD applicants
● PhD degree in these or related fields with an excellent dissertation/publications for Postdoc applicants
● Excellent programming skills in the areas of either AR/VR/XR (e.g. Unity3D, Unreal Engine, 3DUIs), or
computer vision (e.g. deep learning, object detection, synthetic data generation), or both
● Experience of conducting design studies and/or empirical research in HCI is of benefit
● Very good English language skills in speech and writing are expected
Candidates are expected to pursue and be passionate about foundational, translational, and radical research and describe their motivation and important previous work in the cover letter. Candidates are expected to pursue their goals self-organized. We especially encourage international applicants as well as female/diverse researchers that contribute to the internationality and diversity of our inspiring team.

Position details:
Successful candidates will be paid according to 100% state wage agreement level TV-L E13 (gross salary range approx. 52K €-75K €, depending on qualification) equalling ~40h work/week. Candidates will be situated in HEX Lab at the Medical Valley Center, Henkestr. 91 in Erlangen, Germany.
Send your application to hex-application@fau.de. Please refer to the reference HEX-BF-0422. Your application should contain: one page cover letter including the motivation, academic CV, certificates (degrees, school diploma, transcript of records), as well as writing probes (Bachelor/Master Thesis and/or publications). Applications will be accepted until the position is filled.
Feel free to reach out in case of any questions to hex-application@fau.de . You can find out more about the HEX Lab at https://www.hex.tf.fau.de/ and about FAU at https://www.fau.eu/fau/welcome-to-fau/

 

Mehr Informationen finden Sie Hier:

 

PostDoc Positions

Postdoc Positions in AR / Computer Vision / HCI

The Department Artificial Intelligence in Biomedical Engineering is seeking to hire a

Post-Doc Researcher / Habilitation Candidate

The newly established Human-Centered Computing and Extended Reality (HEX) Lab at Friedrich-Alexander University Erlangen-Nürnberg (FAU) invites applications for two positions, starting ~August 1st, 2022. Successful candidates will be embedded in a publicly funded project (subject to the approval of funds).
The HEX Lab is part of the Department Artificial Intelligence in Biomedical Engineering and the Department Computer Science at FAU. Our research centers around human-machine interfaces that improve the way we interact with, work with, and communicate through machines. Our research is situated in the area of (AI-driven) extended reality (AR, VR, MR) user interfaces in the context of physical and mental health.

About the project:
The project aim is to design and develop an AI driven assistive augmented reality system for surgical instrument manuals in the operating room using augmented reality and computer vision and thus support medical care. In close interaction with medical and industry experts, computer vision driven sensing and detection solutions as well as augmented reality visualizations and interfaces have to be developed. The overall goal is to support medical staff during surgical procedures with an assistive system. The project leaves sufficient room for the candidates to explore their own research ideas for their thesis and postdoc.
Perspectives and responsibilities:
PhD position candidates will get the chance to achieve their doctorate at FAU. Postdoc candidates will get the chance to pursue their habilitation/postdoctoral qualifications and to mentor PhD students. We encourage interdisciplinary collaborations and abroad visits.
Candidates are responsible to pursue the project’s research goals, and are expected to pursue and publish excellent research of the highest quality and to present their works at leading conferences.

Requirements:
● Master degree in Computer Science, HCI, Medical Engineering/related fields for PhD applicants
● PhD degree in these or related fields with an excellent dissertation/publications for Postdoc applicants
● Excellent programming skills in the areas of either AR/VR/XR (e.g. Unity3D, Unreal Engine, 3DUIs), or
computer vision (e.g. deep learning, object detection, synthetic data generation), or both
● Experience of conducting design studies and/or empirical research in HCI is of benefit
● Very good English language skills in speech and writing are expected
Candidates are expected to pursue and be passionate about foundational, translational, and radical research and describe their motivation and important previous work in the cover letter. Candidates are expected to pursue their goals self-organized. We especially encourage international applicants as well as female/diverse researchers that contribute to the internationality and diversity of our inspiring team.

Position details:
Successful candidates will be paid according to 100% state wage agreement level TV-L E13 (gross salary range approx. 52K €-75K €, depending on qualification) equalling ~40h work/week. Candidates will be situated in HEX Lab at the Medical Valley Center, Henkestr. 91 in Erlangen, Germany.
Send your application to hex-application@fau.de. Please refer to the reference HEX-BF-0422. Your application should contain: one page cover letter including the motivation, academic CV, certificates (degrees, school diploma, transcript of records), as well as writing probes (Bachelor/Master Thesis and/or publications). Applications will be accepted until the position is filled.
Feel free to reach out in case of any questions to hex-application@fau.de . You can find out more about the HEX Lab at https://www.hex.tf.fau.de/ and about FAU at https://www.fau.eu/fau/welcome-to-fau/

 

Mehr Informationen finden Sie Hier:

 

Student Positions (“Hiwi Jobs”)

Open Research Topics

[B] = More suited for a Bachelor’s Thesis
[M] = More suited for a Master’s Thesis
[P] = More suited for Project (e.g. Computer Science “Master Project”)
[I] = More suited for a Implementation Task
[RI] = More suited for Research Internship

 

Thesis ID Scope Topic Area Supervisor
2106 M Implementation of a federated infrastructure for dynamic job offer/demand matching for universities

(in cooperation with Refinio GmbH)

Federated Dataspaces We could not find any entry with the given search term 150.,
Refinio GmbH
2111 M Predictive Simulations of Gait with Exoskeletons that Alter Energetics

(in collaboration with Queen’s University in Canada)

Gait Analysis, Biomechanics, Predictive Simulations We could not find any entry with the given search term 5508.
2117 P/M On-Device automatic (Markerless) Multi-Camera (Re)-Calibration using a central Synchronisation-Unit Computer vision,
Deep Learning
We could not find any entry with the given search term 1245.
2122 RI The digital fetus – Collecting fetal health parameters during pregnancy for automatic assessment of fetal wellbeing Digital Health We could not find any entry with the given search term 8291.,
2125 M Time Series Data Augmentation for online handwriting recognition Machine Learning, Deep Learning We could not find any entry with the given search term 5634.
2127 M / P / RI Real-time biomechanical analysis of human movement based on inertial sensor data Machine Learning, Bayesian Estimation We could not find any entry with the given search term 112.
2131 M AI-driven coaching for golf swing improvement Digital Sports,
AI
We could not find any entry with the given search term 150.,
We could not find any entry with the given search term 5684.,
We could not find any entry with the given search term 5634.
2135 M Topics for a Master’s thesis in cooperation with and stay at University of Washington:

 

1. Developing sensor-derived metrics for return-to-sport testing following ACL reconstruction

2. Remote sensing of foot dynamics following lateral ankle sprain

3. Determining influences of throwing arm kinematics in baseball pitching: youth to professional

4. Developing sensor-derived metrics for physical demands of basketball during an on-court testing battery

5. Advancing methods for biomechanics analysis of outdoor and varied terrain running

6. Quantifying on-water biomechanics, crew synchronization, and intra-individual variability in rowing athletes

Sports Analytics,

Digital Health,

Signal Processing

Cristine Agresta

We could not find any entry with the given search term 150.

2136 P/RI Requirements Engineering and Usability Analysis of an eHealth Application for Opioid Management in Palliative Care Digital Health, HCI We could not find any entry with the given search term 6717.,
We could not find any entry with the given search term 4059.,
Dr. med. Tobias Steigleder (Department of Palliative Medicine, University Hospital Erlangen)
2137 M/I Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care Digital Health, HCI We could not find any entry with the given search term 6717.,
We could not find any entry with the given search term 4059.,
Dr. med. Tobias Steigleder (Department of Palliative Medicine, University Hospital Erlangen)
2145 B/P/RI How to prepare patients for MRI: Identification of patient types to predict effectivity of interventions
(in cooperation with Siemens Healthineers and the Chair of Health Psychology, FAU Erlangen-Nürnberg)
Machine Learning,
Health Psychology
We could not find any entry with the given search term 1180.,
Janika Madl, M.Sc. (Siemens Healthineers),
Prof. Dr. Nicolas Rohleder
2146 M / P WebCrow 2.0: Automated Crosswords Solving with Language Models.
(in cooperation with Expert.ai)
Deep learning, Natural Language Processing (NLP) We could not find any entry with the given search term 8683.,
Dr. Andrea Zugarini (Expert.ai),
Dr. Marco Ernandes (Expert.ai)
2150 B/P/RI PräpCort: Identifying patterns in biological and self-reported stress markers in the context of the macroscopic anatomy course in medical school using machine learning
(in cooperation with the Chair of Clinical Psychology and Psychotherapy, FAU Erlangen-Nürnberg)
Machine Learning,
Health Psychology
We could not find any entry with the given search term 1180.,
Dr. rer. nat. Lena Gmelch
2151 P CARWatch: Improvement of an Android application for robust and reliable cortisol awakening response (CAR) assessment Health Psychology,
Mobile App Development
We could not find any entry with the given search term 1180.,
Prof. Dr. Nicolas Rohleder
2208 M Generation of synthetic radar (‘EmpkinS-Sensor’) data from human movement EmpkinS, Movement Analysis, Radar We could not find any entry with the given search term 10966.,
We could not find any entry with the given search term 8387.
2209 M User adaptive models in the application of handwriting recognition Machine learning, Deep Learning We could not find any entry with the given search term 5634.
2211 B/P/RI Extraction of Respiration Information from Electrocardiography and Chest Movement Digital Health,
Data Analytics,
Machine Learning
We could not find any entry with the given search term 1180.,
We could not find any entry with the given search term 11278.
2212 M/P/RI Gait sequence detection using hearing aid integrated motion sensors and similar motion analysis topics Deep Learning, Machine Learning,  Data Analytics, Motion Analysis, Motion Sensors We could not find any entry with the given search term 8557.
2213 M A Look at the Past: Simulating Movements of Extinct Animals (in collaboration with University of Buenos Aires) Digital Twin, Movement Analysis, Paleontology, Data Analytics, Machine Learning We could not find any entry with the given search term 5508.
2214 M Dynamic Community Detection in Bipartite Networks Machine Learning, Network science, Algorithms We could not find any entry with the given search term 9851.
2215 M Objective Assessment of Prodromal Hyperkinetic Movements Using Wearable Sensors and Machine Learning in Huntington ́s Disease Digital Health, Wearable Sensors, Machine Learning We could not find any entry with the given search term 136.
2216 M/P/I/RI Augmented Reality (AR) Game for Stereopsis Training. The stereopsis training method already exists in Virtual Reality (VR) and can be used as a basis for a new implementation in AR. The aim is to create a context-aware game that motivates users to do the training more frequently. AR, HCI We could not find any entry with the given search term 2215.
2217 M/P/I/RI Perception Reaction Time Analysis in Directed Movements while Playing Tennis in Virtual Reality (VR). The aim is to decompose the total reaction time of a player into the perception time and the movement time. The total reaction time is the span between presentation of a stimulus (ball gets visible) and a successful hit by the player. During perception the player’s movement is undirected. After perceiving the ball and movement planning the movement gets directed. This behavior will be investigated in this thesis. VR, HCI We could not find any entry with the given search term 2215.
2218 M/P/I/RI (Re-)Eye-dentification: Eye behavior for identifying individuals. The aim is to create a classification that identifies user based on their eye behavior (movement, blinking, …). This enables an interesting log-in interaction for Extended Reality (XR) devices. XR, Eye-Tracking, HCI We could not find any entry with the given search term 2215.
2219 M/P/I/B Prediction of dynamic foot placement for healthy persons and patients suffering from Parkinson’s disease Movement Analysis, Machine Learning We could not find any entry with the given search term 10966.
2220 M / P / RI User guidance to increase intention for personal health data sharing, taking privacy and acceptance measures into account Digital Health, HCI We could not find any entry with the given search term 10957.,
We could not find any entry with the given search term 5632.
2221 M/P/I/RI Strabismus assessment using eye-tracking. A reference implementation is available that can be used and further adapted. The idea of the project is to measure the eyes’ gaze individually and to detect and quantify the misalignment due to strabismus. Ideally, the interaction only makes use of eye-tracking features. XR, Eye-Tracking, HCI We could not find any entry with the given search term 2215.
2223 B / P Influence of marker placement on machine learning tasks Gait, Machine Learning We could not find any entry with the given search term 10966.
2224 M / P “Please, follow me”: self-supervised learning on dynamic scenes by means of motion coherence. Deep learning, Computer Vision We could not find any entry with the given search term 8683.
2225 M Development of a Pose Estimation System for Gymnastics Pose Estimation, Sports, Gymnastics, Performance Analysis We could not find any entry with the given search term 5508.,
We could not find any entry with the given search term 5684.
2225 M / P Predicting Disease Progression in Multiple Sclerosis using Machine Learning.
In collaboration with Novartis.
Statistics, Machine Learning, Time series analysis. We could not find any entry with the given search term 5926., We could not find any entry with the given search term 8096., We could not find any entry with the given search term 8683.
2225 P Deep learning for metallo-proteins: alternative approaches
for the physion-adventitious metal binding site identification problem.
(in cooperation with CERM/CIRMMP, University of Florence)
Deep Learning, Computational chemistry. We could not find any entry with the given search term 8683., Dr. Vincenzo Laveglia (CERM/CIRMMP)

Student Assistant Jobs

Job ID Topic Area Supervisor
J-21010 Studentische Hilfskraft für Projekt AI4Gov – KI im öffentlichen Sektor im Präsidialstab der FAU (Strategische Projekte) Web Design, Social Media We could not find any entry with the given search term 2011.
J-22006 Student assistant for the installation and maintenance of multi edge device monitoring (e.g. ansible, grafna, prometheus) IT, Maintenance, Edge-Devices We could not find any entry with the given search term 1245.
J-22007 Studentische Hilfskraft für Projekte EELISA und AI4Gov im Präsidialstab der FAU (Strategische Projekte) Social Media, Marketing, Eventmanagement We could not find any entry with the given search term 2011.
J-22008 Algorithm Design, Literature research, Scientific work We could not find any entry with the given search term 8557.
J-22009

Studentische Hilfskraft Innovation Lab

Siehe Ausschreibung We could not find any entry with the given search term 5347.

 

 

Send your Applications to aibe-hr@fau.de or use the Online form below

 

Application Form












    Data Privacy

    The general data privacy statement applies to the data transmitted with this form, its purpose, necessity and its legal basis.

    (German translation: Hinsichtlich der mit diesem Formular übertragenen Daten, deren Zweck, Notwendigkeit und dessen rechtlichen Grundlagen gelten die allgemeinen Hinweise in der Datenschutzerklärung.)