Professorship for Data Science
Frankfurt University of Applied Sciences and Mathematics
Germany

JOB DETAILS
title Professorship for the following field: Data Science (m / w / d)
Employer FH FFM University of Applied Sciences Frankfurt am Main - University of Applied Sciences
Job location Nibelungenplatz 1, D-60318 Frankfurt am Main
Released July 26, 2019
deadline September 12, 2019
Jobart professorship
Divisions Computer Science, Information Science, Algebra, Algorithms, Statistics, Logic, Artificial Intelligence, Artificial Neural Network, Computers and Society and 31 more.


JOB DESCRIPTION

Teaching and researching at a dynamic university of applied sciences! We are looking for personalities who want to contribute their extensive practical experience from their professional position to teaching and research at our university on the basis of an above-average doctorate. Proximity to practice, interdisciplinary education, international orientation and regional integration characterize our profile. Excellent quality of teaching and research is our claim.

Our subject area 2: Computer Science and Engineering is to be filled by the following position for the Summer Semester 2020:

Professorship for the following field: Data Science (m / w / d)
(Special size W2 HBesG) Code: 80/2019
We are looking for a team-able personality with a university degree in computer science, mathematics or a similar field of study, who is well-versed in the knowledge of data science or statistical methods in practice, for example in one or more areas of big data analytics, data mining Designing or implementing statistical models, statistical data analysis, probabilistic machine learning, experimental design, visualization of statistical data, etc.

The post holder should have successfully implemented and implemented this knowledge both in the scientific environment and in professional practice and represented in the computer science degree programs of the department.

As a result, they have at least three years of professional experience in application development in industry in selected areas of data science and are very interested in applied teaching and research. In addition to a high level of didactic competence, which combines the theoretical models with vivid, practical applications, the proven experience in interdisciplinary project work is also required.

We expect the position holder to be actively involved in the research-related project modules of the masters courses, but also willing to represent the field of basic statistics, including the computer-aided implementation of statistical procedures in the bachelor's degree programs in computer science in teaching.

The willingness to support application-oriented research at FRA-UAS in cooperation with colleagues (cooperations and doctoral projects), as well as the willingness to become involved in the self-administration of the university as well as the international orientation of the university through lectures in English and by establishing or expanding international cooperation. The high attendance at the university and the intensive support of the students are of course for you.

Please contact Ms. Prof. Schorr via e-mail at rschorr@fb2.fra-uas.de .

We expect from our professors:
High presence at the university and intensive supervision of the students; Participation in basic education, ie the representation of the relevant subject area in an introductory form in all study programs of the department; Aptitude and inclination to research and attract third-party funds; Gender and diversity competence; Participation in the international activities of the university, including teaching in English; Participation in the interdisciplinary Studium Generale; Contributions to the university's offer in further education, lifelong learning and eLearning; Assuming responsibility within the framework of academic self-government; Continuing education in specialized science and university didactics; Willingness for cross-site cooperation with other universities in the region;

The employment conditions of §§ 61 and 62 of the Hessian Higher Education Act apply. The positions are available indefinitely. When first appointed to a professorship, employment initially takes place on a probationary or permanent basis with a three-year probationary period .

Further duties and requirements arise from Sections 61 - 63, 68 and 69 of the Hessian Higher Education Act of 14 December 2009 (GVBl. I p. 666), last amended by the law of 18.12.2017 (GVBl. P. 482) - available at www.hmwk.hessen.de .

The Frankfurt University of Applied Sciences advocates increasing the employment share of women and therefore urges women to apply. People with disabilities are given preference under the applicable rules.

We attach great importance to the protection of your personal data. Therefore, we inform you in accordance with the relevant data protection regulations about the collection, processing and use of your data in the context of your application. The references to the general data protection regulations of the Frankfurt University of Applied Sciences are available at: https://www.frankfurt-university.de/index.php?id=5184

Applications with the usual meaningful documents (including publication list, projects, presentation of previous teaching and research activities) will be requested by post by 12.09.2019 stating the reference number to the

President of the

Frankfurt University of Applied Sciences,

Staff and organization,

Nibelungenplatz 1,

60318 Frankfurt.

www.frankfurt-university.de

 

APPLY FOR THIS JOB
postal: President of Frankfurt University of Applied Sciences, Human Resources and Organization, Nibelungenplatz 1, 60318 Frankfurt


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