Research Associate in Data Science and Computer Science (80–100%)

  • Fachhochschule Nordwestschweiz FHNW
  • Windisch, AG, Switzerland
  • 16/05/2022
Full time Data Science Data Analytics Data Management DevOps

Job Description

Job details

Job Type
Full-time

Full Job Description

Research Associate in Data Science and Computer Science (80–100%)
School of Engineering FHNW, Institute for Data Science
Flexibility, self-determination, creativity, interdisciplinarity - our mission
Your tasks
The FHNW Institute for Data Science has a long and successful track record of conducting basic and applied research projects in the domains of machine learning, deep learning, natural language processing (NLP), and data management. We are looking for a research associate contributing to the development of a novel, deep learning-based method for cryptographically signing digital media. Such a method should play a role in verifying authenticity of media content and thereby provide means to counter the spread of fake information. The successful applicant will work in a team with experienced machine learning and deep learning researchers and contribute to the goal of bringing a novel technology to the market. The tasks include:
  • design, implement and train deep learning models for different digital media application use cases as well as adversarial attacks to understand their weaknesses
  • integrate deep learning models into an operative application framework
  • possibly take part in our teaching activities
The position is initially limited to one year and may be extended to a maximum of five years.
Your profile
  • Master’s degree in data or computer science or equivalent professional experience, including substantial deep learning experience; a PhD would be a plus
  • strong interest in bringing a novel deep learning method to market
  • proven programming skills in Python and experience in data analysis and machine learning
  • motivation to work in a team with regular exchange and joint development
Your prospects:
Our working environment at the Brugg-Windisch campus, combined with a high degree of flexibility in terms of working hours and location, provides a contemporary framework for our work. At the School of Engineering, a culture of dialog is cultivated that is characterized by appreciation and trust. We consider short decision-making processes, a lean administration and great personal freedom to shape and act as important framework conditions for our success.
Your benefits:

Wide range of university sports

Cultural programme of lectures, concerts, theatre and films

Established implementation of equal pay

Targeted promotion of doctoral projects

Annual working time (42 hours/week) with the option of part-time and teleworking

Mentoring programme for career development

Start Date: by agreement, ending on 2027 6 30 .
Apply online
Your workplace
Hochschule für Technik FHNW
Bahnhofstrasse 5 + 6
5210 Windisch
Any questions?
About the position:

Prof. Dr. Michael Graber, Teamleader, Contact: 056 202 84 08

About the recruiting process:

Alberto Tagliatti, HR Manager, Contact: +41 56 202 75 94

Will you soon belong to our team? We look forward to your application before May 31st 2022.
Share this page: