Current job advertisements

Scientific assistant in the project TBDK (Toolbox Data Competence)

The Institute for Applied Computer Science e.V. at the University of Leipzig (InfAI) has a vacancy for a research assistant (50-100% of a full-time position, limited to a project duration of 3 years) within the framework of a third-party funded project, subject to the release of funds by the project management agency. The position is to be filled as soon as possible and will be paid in accordance with remuneration group 13 TV-L.

The Service and Knowledge Management working group is looking for support for the TBDK (Toolbox Data Competence) project as soon as possible. We are a committed and interdisciplinary team with flat hierarchies, working on a broad range of topics within the framework of varied research projects.

What we offer:

the opportunity for demand-oriented, practice-oriented research
flexible working hours and home office option
an interdisciplinary research environment
pay and leave according to the collective agreement (grouping according to TV-L)
the opportunity to write project-related theses (master’s thesis/doctorate)
What your tasks would be:

Development of scientific and technical content in the area of data literacy, with a focus on
Systematic UI/UX design in the field of education
Development of user experience maps and customer journeys for a data literacy platform
Active support of economic partners for the design of a teaching/learning environment for the teaching of data literacy
Creation of scientific publications
Project management
What you bring:

Knowledge of front-end development, especially JavaScript (JSON HTML/CSS, or specific frameworks, e.g. React, D3.js or Bootstrap)
Completed academic studies (Master’s degree or Diplom/Magister)
technical affinity, knowledge of software development is desirable
Proven knowledge and/or practical experience in user experience design
Experience in the areas of eLearning, data literacy and digital literacy
Initiative, independent and self-reliant approach to work
Interest in research and enjoyment of learning
Good to very good command of English
Desirable:

Intention to do a doctorate
Applications with the usual documents are requested by 28.02.2022 to Dr. Christian Zinke-Wehlmann: zinke@infai.org (preferably in a PDF file).

We strongly encourage women to apply! Severely disabled persons are invited to apply and will be given preferential consideration in case of equal suitability.

Scientific assistant in the project K-M-I (Artificial and Human Intelligent)

The Institute for Applied Computer Science e.V. at the University of Leipzig (InfAI) has a vacancy for a research assistant (50-100% of a full-time position, limited to a project duration of 5 years) within the framework of a third-party funded project, subject to the release of funds by the project management agency. The position is to be filled as soon as possible and will be remunerated in accordance with remuneration group 13 TV-L.

The Service and Knowledge Management working group is looking for support for the K-M-I (Artificial and Human Intelligent) project as soon as possible. We are a committed and interdisciplinary team with flat hierarchies, working on a broad range of topics in the context of varied research projects.

Our offer:

the opportunity for demand-oriented, practice-oriented research
flexible working hours and home office option
an interdisciplinary research environment
pay and leave according to the collective agreement (grouping according to TV-L)
the opportunity to write project-related theses (master’s thesis/doctorate)
Tasks:

Development of scientific and technical content for AI-based work, process and organisational design.
Preparation of scientific publications
Active support of economic partners for the human-oriented integration of AI methods (continuous requirements gathering, planning of roadmaps, implementation support and evaluation).
Requirements:

Completed scientific university studies (Master’s degree or diploma)
High technical affinity and knowledge in the field of machine learning/AI or
advanced knowledge in the field of work and service design with basic technical knowledge
knowledge of software development, especially Python, is desirable
Initiative, independent and self-reliant approach to work
Enjoyment of learning and further development
Good to very good knowledge of English
Desirable:

Intention to do a doctorate
Applications with the usual documents are requested by 28.02.2022 to Dr. Christian Zinke-Wehlmann: zinke@infai.org (preferably in a PDF file).

We strongly encourage women to apply! Severely disabled persons are invited to apply and will be given preferential consideration in case of equal suitability.

Data Science Engineer for AI and Machine Learning Transfer

We are looking for employees in Leipzig to strengthen our team in the Transfer & Service Centre to coordinate and work on projects and problems of economic cooperation, e.g. in manufacturing, medicine or the automotive industry. The position is initially limited to 3 years, but offers the possibility of extension.

Your main tasks include:
Initiation, processing and coordination of commercial data science projects.
Transfer of ScaDS.AI research results to industry and public administration
Identification of solution approaches and problem solving by means of data management and ML methods for economic users
Implementation of solutions as PoC and monitoring of further development
Coordination of projects and project proposals (technology expertise + executive / project management)
Together with you, we want to advance the research and knowledge transfer of know-how on Machine Learning and AI. You have already gained extensive experience with Machine Learning and Data Management as a consultant or developer in a business environment and would also like to work in a research-related capacity? Do you feel comfortable working in interdisciplinary teams, are you communicative, independent and solution-oriented? Do you enjoy helping users solve their often complex problems and are you able to communicate technological content? Then we look forward to receiving your application.

Requirements:
a university degree (Bachelor’s, Diploma, Master’s) with above-average results
Professional experience in the application of Big Data and AI methods in an economic context
Relevant experience in consulting
Programming experience (ideally more than Python)
Extensive experience in common data management technologies and platforms for Big Data and AI, e.g. Spark, Flink, Kafka, deployment with AWS
Practical experience in the application of ML methods (e.g. Tensorflow, Keras) and their deployment
Experience in the coordination and management of software projects desirable
Motivation to learn new data science technologies and methods related to ML/KI.
We offer:
Work in an interdisciplinary team consisting of transfer and industry experts as well as internationally renowned AI and Big Data researchers.
Flexible working hours, self-determined organisation and versatile and varied tasks (communication with users, development of own solutions, coordination of PoCs and software project teams, elaboration of proposals)
We offer an innovative environment supported by modern equipped workstations and an open experimental field for ML and AI technology in the ScaDS.AI Living Lab.
ScaDS.AI is part of a dynamic, cosmopolitan university with 14 faculties from all scientific disciplines, a wide range of study programmes and a lively inner-city campus
Leipzig is an extremely attractive and exciting city with many lakes and water-rich surroundings, as well as a very vibrant and diverse cultural scene
Application:

Applications should be sent to Andreas Heinecke via this online portal.

We are striving to increase the proportion of women and therefore expressly invite suitably qualified women to apply. Severely disabled persons are encouraged to apply and will be given preferential consideration in the case of equal suitability.There is the opportunity for one’s own further academic qualification. The compatibility of family and career is of great importance. The position is also suitable for part-time employees.

We look forward to receiving your application!

Further information and contact: Eric Peukert

Research assistant in the area of software development web technologies

The InfAI conducts research in various areas of computer science and business informatics.
Our research group “Digital Entrepreneurship Technologies” works on innovative solutions to improve the collaboration of people in digitising organisations.

The focus is on the design, development and evaluation of web-based applications that make people’s daily (knowledge) work more pleasant and productive.
The working group cooperates closely with the junior professorship for the digitalisation of technology transfer at FSU Jena.

To support the group, we are looking for a research assistant (m/f/d) in the area of software development web technologies for the Leipzig location as soon as possible.

Become a co-designer in the project “Nucleus”. Work with us on an innovative tool that will give small organisations completely new possibilities for collaboration. Together with you, we will create an open source software over the next three years that will improve the work satisfaction of many people.

Your tasks will primarily include:

Independent implementation of development tasks
Active participation in the brainstorming and conception of the application
Code reviews and test-driven development
Requirements:

Several years of development experience with a JavaScript framework (we use Vue.js)
Several years of development experience with a web framework (we use Ruby on Rails)
Interest in developing in Ruby / Ruby on Rails (experience not required)
Desire for clean code and software craftsmanship
experience with common development tools (we use Ubuntu, Gitlab, VS-Code/RubyMine)
A completed university degree
conditions:

You can expect a team of experienced software developers with a professional software development process.
start of work is possible at the earliest possible date
family friendliness is very important to us
Development hardware according to your wishes
conditions:

The job is initially limited until 31.12.2022. The remuneration corresponds to TV-L E13.
The position can be filled on a full-time basis. A smaller scope is also possible without any problems.

Application:

Please send your application with the usual documents (cover letter with a short summary of your previous experience, curriculum vitae, overview of grades, copies of certificates) as well as any queries by e-mail to: hr@infai.org.

Scientific collaboration in the area of machine learning for “Industry 4.0” processes and medicine.

InfAI e.V, Dresden location, works in the areas of machine learning, software development and data management, among others. In the field of Machine Learning for “Industry 4.0” processes and medicine, we are looking for scientific support with immediate effect.

Requirements:

You have completed one of the following degree programmes (or equivalent): Chemistry, Computer Science, Mathematics, Physics, Mechatronics, Mechanical Engineering. Knowledge of statistics and stochastics is a prerequisite. Initial experience in the field of multivariate statistics is desirable. We require a high level of motivation as well as the willingness to work independently and scientifically.

What you can expect:

When data are collected – such as in patient care, pressure values, position data, images, video data and bus signals – the problem of analysing them ultimately arises. Appropriate interpretation and integration of process data facilitates decision-making. Interactive visualisation and machine learning in combination offer the advantage of an automated analysis of process data, with which correlations and patterns in images can be perceived quickly and easily. Data exploration using machine learning can be used as a method for generating process failures and process parameters for measuring limit violations.

The aim of the activity is to obtain fast, programmed and inline analysis methods for patient care and machine process, especially for process control that can be automated. For this purpose, classification methods must be implemented and validated. A basic knowledge in the field of statistical, multivariate data analysis is therefore desired.

Your tasks will primarily include:

Software development: .NET C#, VStudio
Statistical, multivariate data analysis of measurements with appropriate software and modelling.
Application and adaptation of methods: SVM, PCA, neural networks and others
Field of application: in medicine for patients, generative processes, laser-based processes, sensor and measurement technology
Remuneration is in accordance with the general works agreement on the employment of auxiliary staff or the TVÖD.
Severely disabled persons will be given preference in case of equal suitability.

Application:

Please send your application with the usual documents (cover letter, CV, overview of grades, copies of certificates) as well as any queries by e-mail to hr@infai.org.

Kopfgeld am InfAI

The applications marked with this icon are our “bounty” job advertisements. If you, as an InfAI colleague, know suitable contacts in your personal network, you can support us in our search and receive a bonus for doing so.

The following tips must be observed for successful advertising:

It must be communicated before signing the contract that an advertisement for a new employee has been made. For this purpose, the details of both parties involved are required, i.e. those of the person advertising and those of the newly recruited person.
After successful completion of the contractually regulated probationary period, the bonus of € 500.00 will be paid out.
If you have any further questions, please send a message to hr@infai.org.

 Informationen zum Datenschutz finden Sie hier.