Academic Research Assistant - Homburg, Deutschland - Saarland

Saarland

Geprüftes Unternehmen

Homburg, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Bewerbungsfrist

Dienstverhältnis
Arbeitnehmer

Entgelt / Besoldung
TV-L E 1- TV-L E 13 /

Teilzeit / Vollzeit
Vollzeit

Wochenarbeitszeit
39.5

Erforderliches Studium

Behörde
Saarland University

Arbeitsort
Kirrberger Straße 100
66424 Homburg

Academic research assistant (M/F/x)
Saarland University is a campus university that is internationally recognized for its strong research programmes.

Fostering young academic talent and creating ideal conditions for teaching and research are a core part of the university's mission.

As part of the University of the Greater Region, Saarland University enables students and staff to share and exchange knowledge and ideas between disciplines, between universities and across borders.

With over 17,000 national and international students, studying more than a hundred different academic disciplines, Saarland University is a diverse and dynamic learning environment.

[Saarland University is officially recognized as one of Germany's family-friendly higher-education institutions and with a combined workforce of more than 4,000 it is one of the largest employers in the region.

]

Academic research assistant (M/F/x)

Reference number W2234, salary in accordance with the German TV-L salary scale1, pay grade: E13, employment: 100 % of standard working time.

Workplace/Department:

We are looking for an image processing and computer vision researcher to join our team at the Systems Neuroscience and Neurotechnology Unit.

You will be working in the interdisciplinary project VI-Screen in collaboration with researchers from TU-Berlin and the Saarland University Clinic, where you will help develop a new system for contactless screening of respiratory infections using a fully calibrated, multimodal camera system.

You will have the opportunity to work with a one-of-a-kind dataset consisting of RGB stereo, NIR and thermal videos, microphone recordings, as well as of laboratory diagnostic detection of the most common viruses and bacterial pathogens, information on the oral microbiome and general, clinical anamnesis.

The diagnostic data from the lab and patient anamneses will be used as ground truth for the development and validation of computer vision algorithms.

Job requirements and responsibilities:

Development and implementation of methods from machine learning and computer vision with a focus on methods for remote physiological and psychophysiological assessment (rPPG, microexpressions,)
Correlation of lab results with the data from the contactless modalities in cooperation with the project team
Participation in the implementation of those methods into a realtime system
Literature research and preparation of scientific publications

Your academic qualifications:

Completed scientific university studies in visual computing, computer science, math or comparable (M.Sc.) or scientific doctoral degree / PhD
Have experience in the area of visual computing, deep learning or biomedical imaging, backed up with successful projects and publications
Have very good programming skills in Python, basic programming skills in C++, MATLAB (optional)
Handon experience with PyTorch and computer vision libraries such as Pillow, opencv,
Be interested in interdisciplinary work and has an interest in working on topics that are not their core area of expertise to look at the given problems from different angles
Be able to work independently on scientific topics and to coordinate requirements in an interdisciplinary team
Have an interest to compile their results into scientific publications
Have scientific writing skills in English

What we can offer you:

A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking
Secure and futureoriented employment with attractive conditions
A broad range of further education and professional development programmes (for example language courses)
An occupational health management model with numerous attractive options, such as our university sports programme
Supplementary pension scheme (RZVK)
Discounted tickets on local public transport services ('Job-Ticket Plus' of the saarVV)

If you have any

questions, please contact us for assistance

Your contact:
Herr Philipp Flotho

Systems Neuroscience and Neurotechnology

Tel:
/

1 TV-L = collective agreement on remuneration of public sector employees in the German Länder The pay grade assigned to an employee depends on their professional qualifications and the number of years of service.

Each pay grade is further subdivided into levels. Entry-level employees with no previous experience will initially be assigned a level 1 rating. After one year at level 1 of the E10 pay grade, an employee will move up to level 2. After a further two years, the employee will move to level 3, etc.

Kontakt

Ansprechpartner:
Herr Philipp F