Research assistant as part of a doctoral program

Hochschule Koblenz; Remagen; Vor Ort; EUR 52.000 - 76.000; Vollzeit

Benefits dieser Stelle

30 days annual leave

Flexible working hours

Professional development opportunities

Good transport links

Onboarding concept

Cafeteria and canteen options

Annual special paymant and retirement備

Safe and modern workplace

Remote working

Family and health benefits

Zusammenfassung

Hochschule Koblenz in Remagen invites applications for a Research assistant as part of a doctoral program on Explainable AI for the molecular bases of disease progression. The role focuses on AI in bioinformatics, data processing of multi-omic datasets, and development of explainable methods, with collaboration across medicine, biology, and bioinformatics.

Requirements include a Master or equivalent, strong AI expertise, and excellent English; German language skills are advantageous.

Qualifikationen

• Master or comparable degree in a relevant field
• Expertise in artificial intelligence
• Proficient programming skills in C, C++, Python or R
• Sound knowledge of machine learning or deep learning
• Interest in interdisciplinary AI/biology/medicine research
• Excellent written and spoken English (C1)
• German would be an advantage
• Independent, structured and solution-oriented work style with teamwork

Aufgaben

• Conduct independent research on AI in bioinformatics for the project
• Develop data pre-processing, normalization and feature engineering for multi-omic data
• Design and apply explainable AI methods
• Interpret model results biologically and clinically
• Prepare progress reports and doctoral colloquia
• Publish academic papers
• Co-supervise students and research assistants
• Develop courses in mathematics, programming, ML, genomics or epigenomics

Kenntnisse

AI expertise

C/C++/Python/R

ML/DL knowledge

Interdisciplinary collaboration

English proficiency (C1)

Ausbildung

Master or equivalent degree

Jobbeschreibung

Research assistant as part of a doctoral program for the project „Explainable AI for the molecular bases of disease progression“

Department of Mathematics, Computer Science and Technology | Campus Remagen | Full-time (39 hours/week) | immediate start | limited until 31.08.2030 | Pay grade 13 TV-L

The Koblenz University of Applied Sciences (www.hs-koblenz.de) with its locations in Koblenz, Remagen and Höhr-Grenzhausen offers teaching, continuing education and applied research with an extensive range of face-to-face and distance learning courses.

Your tasks:

• independent work on the above-mentioned research project in the field of “Artificial Intelligence in Bioinformatics”


• own academic qualifications obtained through a PhD in the subject area mentioned above


• close collaboration with interdisciplinary partners from the fields of medicine, biology and bioinformatics


• Data pre-processing, quality control, normalization and feature engineering for multi-omic datasets


• Design and application of novel methods for explainable artificial intelligence


• biological and clinical interpretation of the model results


• Participation in doctoral colloquia and the preparation of progress reports


• Writing academic publications


• Design and implementation of courses in the fields of mathematics, programming, machine learning, deep learning, genomics or epigenomics


• Co-supervision of student/research assistants

Your profile:

• completed university degree (Master or comparable) in the field of bioinformatics, computer science, data science, computational biology, biology, physics, mathematics or a related field


• Expertise in the field of artificial intelligence


• very good programming skills in \"C, C++, Python or R\"


• Sound knowledge of machine learning or deep learning


• Interest in interdisciplinary research at the interface of AI, biology and medicine


• excellent written and spoken English (minimum C1 level)


• good written and spoken German would be an advantage


• independent, structured and solution-oriented way of working, as well as strong teamwork and communication skills

Your Benefits:

• 30 days of annual leave


• flexible working hours with no core working hours


• Professional development opportunities


• good transport links


• personalized onboarding concept and employee development


• cafeteria and canteen options


• Annual special paymant, capital-forming benefits and occupational retirement provision


• Safe and modern workplace


• Remote working


• Wide range of family and health benefits

We are committed to diversity, equal opportunities and the compatibility of work and family. We particularly welcome applications from women. People with severe disabilities will be given priority if they are equally qualified.

If you have any questions regarding the role, please contact Prof. Dr. Assenov ([e-mail]). Further information about Koblenz University of Applied Sciences as an employer can be found here.