University Assistant (Doctorate/Ph.D.)

10 Apr 2024
Job Information

Organisation/Company

Johannes Kepler University

Department

the LIT Artificial Intelligence Lab

Research Field

Technology

Researcher Profile

Recognised Researcher (R2)

Country

Austria

Application Deadline

1 May 2024 - 23:59 (Europe/Vienna)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

36500-2024-000767

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The world is changing at an ever-faster pace. At the Johannes Kepler University Linz, we work on technologies and the ideas of tomorrow on a daily basis. At the same time, we educate over 24,000 young people to meet the demands of today’s job market. In short, we are Upper Austria’s largest institution for education and research. Are you interested in being a part of shaping the future at Austria’s most attractive campus university? We currently have a job opening starting 06/03/2024 for a:

University Assistant (must hold a Doctorate/Ph.D. degree) for a full-time, six-year position at the LIT Artificial Intelligence Lab

Job Reference Number: 36500-2024-000767

Job Duties:

• Independent research and active participation in cooperative research projects of the institute, in particular, in the development, evaluation, and practical application of machine learning methods (especially deep learning) with applications in bioinformatics, medicine, pharmaceutics, or autonomous driving)
• Publication of scientific results in renowned international journals and conferences
• Supervision of students in seminars and projects; co-supervision of bachelor and master theses
• Participation in teaching of the institute’s courses and administrative tasks

Your Qualifications:

• The successful candidate must hold a Ph.D. degree and publication record in machine learning methods and/or their applications; several publications at top machine learning conferences, such as NeurIPS, ICML, and ICLR
• Theory and practice of machine learning, e.g. Deep Learning and neural networks, Reinforcement learning, Signal propagation theory, and Probabilistic modeling
• Excellent skills in R and/or Python programming
• Full command of German and English (German level C1, English level B2)
• Willingness and ability to work in a team and to support young colleagues

What We Offer:

• On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 4,752.30 gross per month (14 x per year, CA Job Grade: B1)
• Stable employer
• Attractive campus environment with good public transportation connections
• Attractive continual educational opportunities
• State-of-the-art research infrastructure
• Dynamic research environment
• Broad range of on-campus dining services/healthy meals (organic food at the cafeteria)
• Exercise and sports classes (USI)
• …and much more

Application Deadline: 05/01/2024.

The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.

How to Apply:

Prospective applicants interested in the multifaceted position are requested to electronically send an application in adherence to the stated criteria together with the requested documentation via our online portal karriere.jku.at/application or to the Johannes Kepler University Linz, Department of Human Resource Management, Altenberger Straße 69, A-4040 Linz. Please include “Job Reference Number 36500-2024-000767“ in your application.

Contact:

If you have questions, please contact: Assoz.Univprof. Mag. Dr. Günter Klambauer,
P +43 732 2468 4489, E‑mail: [email protected] .

Requirements

Research Field

Technology

Education Level

PhD or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Johannes Kepler University

Country

Austria

City

Linz

Postal Code

4040

Street

Altenberger Straße 69

Geofield

Where to apply

Website

https://karriere.jku.at/engage/jobexchange/showJobOfferDetail.do?jobOfferId=0cc…

Contact

City

Linz

Website

https://www.jku.at/en/the-jku/careers-entrepreneurial-opportunities/work-at-the-jku/job-openings/

Street

Altenberger Straße 69

Postal Code

4040

E-Mail

[email protected]

Phone

+43 732 2468 4489

STATUS: EXPIRED