Universität des Saarlandes

Reference number W2880 , salary in accordance with the German TV-L salary scale1, pay grade: E13 TV- L, duration

Saarland · Spoken Language Systems · Frist: 10.07.2026
Besoldung E 13 TV-L Arbeitszeit Vollzeit Befristung befristet 2 Jahre Frist 10.07.2026
4.188 – 6.079 €
/Monat brutto · E 13 TV-L in Saarland
Gehalt individuell berechnen →

Saarland University is a campus university with an international reputation for research excellence, particularly in

computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to

France and its strong European focus. Around 17,000 students, studying over one hundred different academic

disciplines, are currently enrolled at Saarland University. Saarland University is officially recognized as one of

Germany’s family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one

of the largest employers in the region.

The department for Spoken Language Systems is inviting applications for the following position commencing at the

earliest opportunity.

Academic research assistant (m/f/x)

Reference number W2880 , salary in accordance with the German TV-L salary scale1, pay grade: E13 TV- L, duration

of employment: Two years with a possible extention, volume of employment: 100 % of standard working time.

Workplace/Department:

Spoken Language Systems

Job requirements and responsibilities:

In recent years a new field has emerged: AI for Science. Our group has a long and strong tradition in language

modelling (several best paper awards at major NLP conferences) and is building on top of this. Our research is done

in very close collaboration with the Helmholtz Institute for Pharmaceutical Research as well as the University

Hospital, giving us access to exciting unique data.

Your academic qualifications:

 Doctoral degree / PhD in Computer Science, Computational Linguistics, Bioinformatics, Physics, Mathematics or

similar

 Language skills (according to GER): Excellent English on C1 level

The successful candidate will also be expected to:

 Have excellent knowledge of machine learning

 deep learning, excellent programming skills

 have successfully worked both independently and as part of a small team

 Language skills (according to GER): English on C1 level

1 TV-L = collective agreement on remuneration of public sector employees in the German Länder

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 future-oriented 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‘ of the saarVV)

 Job bike leasing (JobRad)

We look forward to receiving your meaningful online application (in a PDF file) by 10.07.2026 to

. Please include the reference number W2880 in the subject line of the e-mail.

If you have any questions , please contact us for assistance. Your contact:

Herr Prof. Dr. Dietrich Klakow

Tel.: 0049 681 58122

Pay grade classification is based on the particular details of the position held and the extent to which the applicant meets the

requirements of the pay grade within the TV-L salary scale. Part-time employment is generally possible.

If you have obtained a foreign university degree, a proof of the equivalence of this degree with a German degree by the

Zentralstelle für ausländisches Bildungswesen (ZAB) is needed before hiring. If necessary, please apply for this in time. You can

find more information at https://www.kmk.org/zeugnisbewertung .

Unfortunately, neither costs for attending an interview at Saarland University nor costs for any certificate evaluation by the ZAB

can be reimbursed in principle.

We welcome applications regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, and sexual

orientation and identity. In accordance with its policy of increasing the proportion of women, the University actively encourages

applications from women. Applications from severely disabled persons will be given preferential consideration in the event of

equal suitability.

When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice

for information on how we collect and process personal data in accordance with Art. 13 of the Datenschutz-Grundverordnung . By

submitting your application you confirm that you have taken note of the information in the Saarland University privacy notice.

Besonderheiten
Kennziffer=W2880
Schlagworte
Natural Language ProcessingMachine LearningDeep LearningAI for ScienceLanguage ModellingPython/ProgrammierungEnglisch C1PhD erforderlichForschungHelmholtz-Kooperation
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