Arbeitsgruppe

The Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and Han-nover Medical School is seeking for a

Research Assistant / Postdoc (m/w/d)
in
Digital Rescue Sheet (DiRect)

The Institute
PLRI is a joint institute of TU Braunschweig and Hannover Medical School, and one of the largest university-based centers for medical informatics in Germany. As an academic institution belonging to two leading universities, comprising an institute of technology and a medical school, located in one of Europe’s most research-intensive regions, PLRI offers excellent research opportunities. We collaborate in interdisciplinary projects with healthcare centers, research institutes, enterprises, and public organizations in order to shape the future of healthcare and medicine. Our activities range from the local level, as with institutions in Braunschweig and Hannover, to regional, national, and global corporations. Currently, the PLRI’s Executive Director is the President of the European Federation of Medical Informatics.

The Position
The position is open since the announcement and is limited to a period of five years. Earning a Ph.D. or habilitation is possible. Depending on your qualification and fulfillment of personal requirements, the remuneration is based on the salary level TV-L E13. International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Braunschweig. The workplace is basically part-time suitable but should be 100 percent occupied.

Your Challenges
Accident and emergency informatics is a novel and trans-disciplinary field of research that we have established at PLRI. In the DiRect project, we are transforming so far paper-based information sheets provided by car manufacturers into a digital and three-dimensional application installed on portable devices by the rescue teams. Besides the interactive 3D visualization, we aim at (i) navigation (where to cut for emergency release), (ii) automatic vehicle identification (using the eCall system, QR codes, photographs, or from the license plate), (iii) vehicle deformation estimation (based on crash data from the car’s CAN bus), (iv) personalized injury estimation of vehicle occupants (depending on their seat position and mechanical crash parameters), (v) establishing a comprehensive accident registry, and (vi) integration towards automatic eCall generation with ISAN integration.

Your Profile
We are seeking outstanding candidates that have:

• completed, or are in the process of completing either a Master’s degree or a Ph.D. in (mechanical) engineering or computer science,
• programming skills and experience in software development,
• experiences with 3D models, modeling, and visualization in Blender
• experience in research and outstanding published works,
• excellent oral and writing skills in English (German language skills are advantageous),
• willingness to work closely with the interdisciplinary project team, and
• self-initiative and result-oriented working approach.

Application Process
Please prepare your application documents in German or English as a combined PDF document consisting of

• a cover letter (including your motivation),
• a CV,
• your academic performance record (your grades during your Bachelor’s and Master’s studies including grading scale details),
• a proof of your language proficiency, and
• a copy of your Master's thesis or comparable student theses.

Please upload the documents at https://drop.plri.de/ and send the link by e-mail to Prof. Thomas Deserno. Review of applications will begin with submission and will continue until the position is filled. Reimbursement of application costs is not possible.

TU Braunschweig is an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, disability status, or any other characteristic protected by German law. Further, TU Braunschweig aims to increase the share of women in academic positions and therefore particularly welcomes applications from women. Severely disabled persons are entitled to special consideration (proof must be enclosed). During the application process, personal data will be stored electronically.

For further questions, please contact:
Peter L. Reichertz Institut für Medizinische Informatik
Prof. Dr. Thomas Deserno
Mühlenpfordtstr. 23
38106 BRAUNSCHWEIG
thomas.deserno@plri.de
Tel. +49 531 391 2130
www.plri.de

DOWNLOAD

The Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and Hannover Medical School is seeking for a

Research Assistant / Postdoc (m/w/d)
in
Sensor-based Patient-generated Data Science

The Institute
PLRI is a joint institute of TU Braunschweig and Hannover Medical School, and one of the largest university-based centers for medical informatics in Germany. As an academic institution belonging to two leading universities, comprising an institute of technology and a medical school, located in one of Europe’s most research-intensive regions, PLRI offers excellent research opportunities. We collaborate in interdisciplinary projects with healthcare centers, research institutes, enterprises, and public organizations in order to shape the future of healthcare and medicine. Our activities range from the local level, as with institutions in Braunschweig and Hannover, to regional, national, and global corporations. Currently, the PLRI’s Executive Director is the President of the European Federation of Medical Informatics.

The Position
The position is open since the announcement and is limited to a period of five years. Earning a Ph.D. or habilitation is possible. Depending on your qualification and fulfillment of personal requirements, the remuneration is based on the salary level TV-L E13. International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Braunschweig. The workplace is basically part-time suitable but should be 100 percent occupied.

Your Challenges
The medical Internet of Things facilitates unobtrusive health monitoring of all aspects of people’s life. Wearable sensors enable connecting directly to the body in order to continuously record movements or measure vital signs. Environmental sensors can capture people’s behavior changes, leading to the potential detection of loss of functions. The same applies to sensor technology in vehicles. The successful applicant will develop systems and algorithms that enable the sensor data collected in the patient’s living environment as a source of information for the healthcare system. Such sensors include photography, video, and acoustics. Particular challenges arise here in the task-specific selection of sensors, the aggregation, and fusion of the raw sensor data to a patient-specific situation picture, and the mapping of this situation picture to medical relevant information that can be further processed for data analysis and exchange. The application of the novel machine learning approaches (e.g., deep learning) to massive health data with high variety may show superior performance towards robust and patient-centered event prediction. The test bed of research is accident and emergency informatics, a novel and trans-disciplinary research field that we have established at PLRI.

Your Profile
We are seeking outstanding candidates that have:

• completed, or are in the process of completing either a Master’s degree or a Ph.D. in computer science, medical informatics, or comparable courses of study,
• experience in combining and analyzing sensor data,
• programming skills in mainstream data science programming languages such as Python, R and experience in software development,
• experience in research and outstanding published works in medical data science,
• familiarity with medical terminologies and semantic interoperability,
• excellent oral and writing skills in English (German language skills are advantageous),
• willingness to work closely with the interdisciplinary project team, and
• self-initiative and result-oriented working approach.

Application Process

Please prepare your application documents in German or English as a combined PDF document consisting of

• a cover letter (including your motivation),
• a CV,
• your academic performance record (your grades during your Bachelor’s and Master’s studies including grading scale details),
• a proof of your language proficiency, and
• a copy of your Master's thesis or comparable student theses.

Please upload the documents at https://drop.plri.de/ and send the link by e-mail to Prof. Thomas Deserno. Review of applications will begin with submission and will continue until the position is filled. Reimbursement of application costs is not possible.

TU Braunschweig is an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, disability status, or any other characteristic protected by German law. Further, TU Braunschweig aims to increase the share of women in academic positions and therefore particularly welcomes applications from women. Severely disabled persons are entitled to special consideration (proof must be enclosed). During the application process, personal data will be stored electronically.

For further questions, please contact:
Peter L. Reichertz Institut für Medizinische Informatik
Prof. Dr. Thomas Deserno
Mühlenpfordtstr. 23
38106 BRAUNSCHWEIG, GERMANY
thomas.deserno@plri.de
Tel. +49 531 391 2130
www.plri.de

DOWNLOAD

The Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and Han-nover Medical School is seeking for a

Research Assistant / Postdoc (m/w/d)
in
International Standard Accident Number (ISAN)

The Institute
PLRI is a joint institute of TU Braunschweig and Hannover Medical School, and one of the largest university-based centers for medical informatics in Germany. As an academic institution belonging to two leading universities, comprising an institute of technology and a medical school, located in one of Europe’s most research-intensive regions, PLRI offers excellent re-search opportunities. We collaborate in interdisciplinary projects with healthcare centers, research institutes, enterprises, and public organizations in order to shape the future of healthcare and medicine. Our activities range from the local level, as with institutions in Braunschweig and Hannover, to regional, national, and global corporations. Currently, the PLRI’s Executive Director is the President of the European Federation of Medical Informatics.

The Position
The position is open since the announcement and is limited to a period of five years. Earning a Ph.D. or habilitation is possible. Depending on your qualification and fulfillment of personal requirements, the remuneration is based on the salary level TV-L E13. International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Braunschweig. The workplace is basically part-time suitable but should be 100 percent occupied.

Your Challenges
Considering the medical Internet of Things, we need automatic communication between alarming systems such as smart cars and smart homes, responding systems such as police or fire rescue teams, and curing systems such as emergency rooms in hospitals. ISAN is a token that allows secure and private communication without any human operator in the loop. Together with the rescue unit of the City of Braunschweig, we are prototyping such a system. Research and development fields also cover the development of terminology that – in close cooperation with the World Health Organization (WHO), we integrate into ICD 11. The application of the novel machine learning approaches (e.g., deep learning) to massive health data with high variety may show superior performance towards robust and patient-centered event prediction. The test bed of research is accident and emergency informatics, a novel and trans-disciplinary research field that we have established at PLRI.

Your Profile
We are seeking outstanding candidates that have:

• completed, or are in the process of completing either a Master’s degree or a Ph.D. in computer science, medical informatics, or comparable courses of study,
• programming skills and experience in software development,
• experience in research and outstanding published works in medical information systems,
• familiarity with medical terminologies and semantic interoperability,
• excellent oral and writing skills in English (German language skills are advantageous),
• willingness to work closely with the interdisciplinary project team, and
• self-initiative and result-oriented working approach.

Application Process
Please prepare your application documents in German or English as a combined PDF docu-ment consisting of

• a cover letter (including your motivation),
• a CV,
• your academic performance record (your grades during your Bachelor’s and Master’s studies including grading scale details),
• a proof of your language proficiency, and
• a copy of your Master's thesis or comparable student theses.

Please upload the documents at https://drop.plri.de/ and send the link by e-mail to Prof. Thomas Deserno. Review of applications will begin with submission and will continue until the position is filled. Reimbursement of application costs is not possible.

TU Braunschweig is an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, disability status, or any other characteristic protected by German law. Further, TU Braunschweig aims to increase the share of women in academic positions and therefore particularly welcomes applications from women. Severely disabled persons are entitled to special consideration (proof must be enclosed). During the application process, personal data will be stored electronically.

For further questions, please contact:
Peter L. Reichertz Institut für Medizinische Informatik
Prof. Dr. Thomas Deserno
Mühlenpfordtstr. 23
38106 BRAUNSCHWEIG
thomas.deserno@plri.de
Tel. +49 531 391 2130
www.plri.de

DOWNLOAD

C++ Developer for Interactive 3D Applications (f/m/d)

IT Systems Administrator (f/m/d)

1000Shapes GmbH, Berlin

1000Shapes digitalisiert die Gestaltung, Auswahl und Fertigung von 3D-Produkten und eröffnet damit eine neue Dimension des Produktdesigns – von Zahnschienen über Implantate bis hin zu kompletten therapeutischen Ergebnissen. Hierfür suchen wir zur Verstärkung unseres Teams ab sofort am Standort Berlin einen C++ Entwickler (f/m/d) sowie einen IT Systems Administrator (f/m/d).

www.1000shapes.com/news/c-developer-interactive-3d-applications-f-m-d/

www.1000shapes.com/news/system-administrator-f-m-d/

Post-Doctoral Fellowship Position in Machine Learning for Medical Imaging

The Medical Image Processing and Machine Learning Laboratory at the University of Calgary invites applications for a full-time academic position at the level of Postdoctoral Fellow in Machine Learning for Medical Imaging. We seek highly motivated individuals with specific research interests in medical image processing and machine learning, and especially deep learning.

Candidates should hold a PhD in computer science, biomedical engineering, mathematics or an associated program, with a track record of excellence and publications in medical image processing and deep learning. The successful applicant will be responsible for developing advanced image processing methods using deep learning techniques for structural and functional analysis of MRI and CT datasets for computer-aided diagnosis support and clinically-oriented research. The postdoctoral fellow will also be expected to take a lead on manuscript writing and preparation, presentation of scientific material at national and international meetings, support of grant applications, and mentoring junior lab members. The successful candidate will be located in lab space adjacent to other basic and clinical scientists conducting image science research focused on stroke and other vascular diseases, epilepsy, cancer, human neurodevelopment, adult, child and youth mental health, and traumatic brain injury.

Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of approximately one million. Situated less than one hour from the Rocky Mountains, Banff National Park, and Lake Louise, Calgary offers great quality of life and outstanding recreational activities such as hiking and skiing.

Interested candidates should submit, via email:

• a curriculum vitae
• a summary of research interests including a one-page innovative research proposal
• a maximum of three reprints of their most relevant publications
• the names and e-mail addresses of two individuals willing to provide letters of reference if requested.

Please send directly to:

Dr. rer. nat. Nils Daniel Forkert

Associate Professor Department of Radiology Faculty of Medicine

University of Calgary

Email: nils.forkert@ucalgary.ca

Web: www.ucalgary.ca/miplab/

14.08.2020

PhD Thesis “CNNs for Medical Image Processing: Learning from Limited Data””

Institution: Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine,
Heidelberg University, Germany
Start date: as soon as possible
Duration: 36 months

Profile:
Applicants will hold a master degree / will be master candidate in physics, computer science, mathematics, biomedical engineering or a related field; strong knowledge in programming and algorithmic development, experience in machine learning and image processing is required; willingness to learn required programming languages (Python),tools for deep learning (TensorFlow) and the principles of medical imaging techniques related to the project is expected.

Project Description:
Deep Learning is a machine learning field that became essential to the field of image processing in the last years. High performance algorithms can be trained on large data sets. However, for rare conditions with a limited number of training cases, training CNNs remains a challenge. The candidate will work on a training pipeline that can be applied to various data sets and tasks. The Research Campus Mannheim Molecular Interventional Environment (M²OLIE) develops innovative molecular imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems. The PhD candidate will perform research in deep learning based image segmentation within the Research campus and beyond. The project can be executed in German or English.

Working Environment:
Our group is composed of more than thirty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and data analysis approaches and translate them with our clinical partners into daily practice. Our research team specializes in exploration of Deep Learning in interventional imaging. Ongoing collaborations with other researchers involve the Central Institute of Mental Health (ZI, Mannheim), the German Cancer Research Centre (DKFZ, Heidelberg), and across Europe with multiple opportunities to visit leading international laboratories and to attend taught schools.

Interested?
If you enjoy working in an interdisciplinary, young, creative and open team, we are looking forward to your application! For more information on the project or for application please contact:

Offer of employment