Düsseldorf University Hospital (UKD) is the largest hospital in the state capital and one of the most important medical centers in North Rhine-Westphalia. The 9,300 employees at UKD and its subsi­diaries are committed to treating over 45,000 inpatients and 270,000 outpa­tients every year. The UKD stands for inter­na­tional excel­lence in patient care, research and teaching, as well as for innovative and safe diagno­stics, therapy and prevention. Patients benefit from the intensive inter­di­sci­plinary coope­ration between the 60 clinics and insti­tutes. The parti­cular strength of the University Hospital is the close integration of clinical and research work for the safe appli­cation of new methods. Tomorrow’s medicine is being created at the UKD. Every day.

A central aspect of the CARDDIAB research network is the inves­ti­gation of metabolic dysfunc­tions and their relati­onship with cardio­vas­cular diseases. To inves­tigate cardio­me­ta­bolic inter­ac­tions between the organs, high-throughput data are collected from dedicated cohorts. The aim is to gain insights into previously poorly understood cardio­me­ta­bolic aspects, parti­cu­larly in the develo­pment of diabetes. The research group “Algorithms of Cardio­me­ta­bolic Fluxomics” in the Department for Endocri­nology and Diabe­tology at the Medical Faculty develops compu­ta­tional methods for the analysis of multi­modal data (genome, transcriptome, epigenome, proteome, metabolome) and is looking for a highly motivated and talented

Postdoc­toral Researcher (m/f/d) in Bioin­for­matics.

full-time (100% TV‑L E13)

Employment will start as soon as possible and last for 21 months with possible extension.

Job description:
• Carry out cutting edge research in bioin­for­matics and medical data science
• Develop bioin­for­matics tools for the analysis of Capture Hi‑C sequencing data in a longi­tu­dinal study
• Analyze single-cell sequencing data for the recon­s­truction of cell lineages
• Contribute to a colla­bo­rative and inter­di­sci­plinary research initiative at the inter­section of bioin­for­matics and medical research.

Requi­re­ments:
• Doctoral degree/Ph.D. in bioinformatics/computational biology, or related areas
• Experience with RNA-seq / HI‑C / ChIP-Seq data analysis
• Programming skills with Python or R
• Good track record of scien­tific publi­ca­tions
• Good commu­ni­cation skills (English)
• Interest in inter­di­sci­plinary colla­bo­ration
• Independent, respon­sible and committed work attitude

Desirable quali­fi­ca­tions:
• Successful inter­di­sci­plinary research colla­bo­ra­tions
• Organiza­tional and coordi­nation skills
• First experi­ences in raising third-party funds
• Experience in super­vising student projects and Bachelor/Master theses
• Inter­na­tional research experience / working experience abroad

Our offer:
• The position is based on the German Academic Fixed-Term Contract Act (WissZeitVG according to § 2 p. 2), initially for a fixed term of 21 months until the end of the project with the possi­bility of extension
• Remune­ration according to TV‑L E13
• Space for personal respon­si­bility, creativity and personal develo­pment
• Flexible and family-friendly working time models
• Childcare options in a UKD day-care center and offers for those returning from parental leave
• 38,5 (100%) working hours per week
• Inexpensive catering options on the UKD site
• Company pension scheme (VBL supple­mentary pension in the public sector)

For questions please contact Jun.-Prof. Dr. Daniel Dörr (e‑Mail: daniel.doerr@med.uniduesseldorf.de). Heinrich Heine University Düsseldorf is aiming to increase the proportion of women. Appli­ca­tions from women will therefore be given prefe­rence if they have the same suita­bility, ability and profes­sional perfor­mance, unless reasons related to the person of a compe­titor prevail. Heinrich Heine University is committed to the principle of excel­lence through diversity. We signed the “Diversity Charter” and successfully parti­ci­pated in the Stifterverband’s “Shaping Diversity” audit. It is certified as a family friendly university and has set itself the goal of promoting the diversity of its employees. The appli­cation of suitable severely disabled and equivalent disabled people according to SGB IX is desired. The work area is generally suitable for part-time staff. By sending the appli­cation documents, the applicant agrees that these become the property of the University Hospital Düsseldorf and will not be returned for reasons of cost. Appli­ca­tions should be submitted within two weeks of release of this offer preferably by email to:

bewerbungen@med.uni-duesseldorf.de
or
Univer­si­täts­kli­nikum Düsseldorf D 01.2.1–
reference number: 235E/25
Moorenstr. 5,
40225 Düsseldorf

The Research Group of Compu­ta­tional Molecular Design (Prof. Matthias Rarey) has two open positions for Ph.D. students interested in developing compu­ta­tional methods for early-phase drug discovery. If you have a degree in bioin­for­matics, compu­ta­tional chemistry, or a related field at the inter­section of computer science and life sciences, and are interested in starting your career in the exciting field of drug discovery, please get in touch. We are looking for two talented Ph.D. students with a strong background in computer science (algorithmics, machine learning, and advanced programming) and the natural sciences (preferably struc­tural biology, organic chemistry, and physical chemistry). Our research group has a high inter­na­tional reputation and contacts with dozens of pharmaceu­tical companies around the world. We also have a highly profes­sio­na­lized software develo­pment infra­structure, including group-dedicated system adminis­tration and scien­tific software engineering. Details about the positions can be found at

https://www.zbh.uni-hamburg.de/en/service/stellen.html.

Feel free to contact us at rarey-office.zbh@uni-hamburg.de with any questions.

The Faculty of Medicine at Friedrich-Alexander-Univer­­­­­sität Erlangen-Nürnberg (FAU) invites appli­ca­tions for a

tenure-track position as Associate Professor of Medical Bioin­for­matics (salary group W2)

at the Institute of Medical Infor­matics, Biometry, and Epide­miology. The position is to be filled by the earliest possible starting date for an initial period of six years. FAU offers the long-term perspective of a permanent appointment to a full profes­sorship if the requi­re­ments of the tenure evaluation are met.

We seek to appoint a leading expert with an inter­na­tio­nally visible profile in research and teaching. The successful candidate will have an independent research profile and proven expertise and management experience (for instance as head of a junior research group) in the area of data analysis focusing on data gained from omics techno­logies, also in trans­la­tional projects. The professor will be respon­sible for managing the Compe­tence Center Medical Bioin­for­matics with the core unit Bioin­for­matics, Data Integration and Analysis. Accor­dingly, candi­dates should demons­trate an ability to conduct inter­di­sci­plinary colla­bo­ration with resear­chers from the Faculty of Medicine and a willingness to become actively involved in our key research priorities and colla­bo­rative research projects (colla­bo­rative research centers, research training groups, research units). FAU offers further interesting oppor­tu­nities for colla­bo­ration with the Faculty of Engineering and the Faculty of Sciences.

The professor will be involved in teaching in the degree programs Medicine, Computer Science (minor subject medical infor­matics), Medical Engineering, Data Science and Medical Process Management, Molecular Medicine and the Master’s degree in Molecular Medicine. We expect the professor to introduce new and innovative teaching formats and content from the research area covered by the profes­sorship.

Other degree programs taught at the Faculty of Medicine are Dentistry, Logopedics, Midwifery Science, Advanced Immuno­me­dicine, Medical Engineering, Master in Health and Medical Management, Master of Health Business Adminis­tration, and Master of Science Integrated Immunology.

Successful candi­dates should demons­trate an excellent academic track record in research and teaching at the highest inter­na­tional standards. They should have substantial research experience abroad and/or inter­na­tional coope­ra­tions as well as experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and relevant teaching experience are prere­qui­sites. Candi­dates who are able and willing to teach in both English and German are preferred. The position also requires additional postdoc­toral quali­fi­ca­tions. These should be in the form of a habili­tation (postdoc­toral thesis) or equivalent academic quali­fi­ca­tions. These quali­fi­ca­tions may also have been achieved in a non-university context or through a junior faculty position (for example as Assistant Professor).

The successful candidate should become actively involved in adminis­tering academic affairs and in developing strategic initia­tives. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.

FAU offers an outstan­dingly productive research environment as well as a passionate and multi-disci­­­plinary scholarly community within a vibrant insti­tu­tional network.

FAU offers career develo­pment and an attractive initial package. Based on inter­na­tional standards and trans­parent perfor­mance agree­ments, FAU ensures a fair tenure-track evaluation process.

In its pursuit of academic excel­lence, FAU is committed to equality of oppor­tunity and to a proactive and inclusive approach, which supports and encou­rages all under-repre­­­sented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and responsive to the needs of dual career couples.

Please submit your complete appli­cation documents (CV, list of publi­ca­tions, teaching concept and research concept, list of third-party funding, copies of certi­fi­cates and degrees) online at https://berufungen.fau.de by June, 29, 2025 addressed to the Dean of the Faculty of Medicine. Please contact med-berufungen@fau.de with any questions.

https://www.fau.eu/people/working-at-fau/professorships/

At the Leibniz Institute of Plant Bioche­mistry in the Department of Bioor­ganic Chemistry a position is available for a

PhD in Machine Learning for Enzyme Design (m/f/d)
(Salary group E13 TV‑L, part-time 65 %, limited for 3 years, start: as soon as possible)

Are you passionate about machine learning, molecular science, and making disco­veries at the interface of biology and chemistry? Join us at the Leibniz Institute of Plant Bioche­mistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”.

About the Project & Group:
You will work in the Compu­ta­tional Chemistry group, led by Dr. Mehdi D. Davari, an inter­di­sci­plinary team focused on accele­rating chemical and biolo­gical discovery using compu­ta­tional tools. Our research combines compu­ta­tional chemistry, chemin­for­matics, bioin­for­matic and AI to design new molecules and enzymes for unpre­ce­dented catalytic functions.

In this project, you will:

• Develop innovative machine learning archi­tec­tures for the mining, prediction, and design of enzymes.
• Combine state-of-the-art ML (e.g., deep learning, generative models) with compu­ta­tional bioche­mistry tools.
• Colla­borate closely with an experi­mental enzymology PhD student to validate your models in the lab.

This is an excellent oppor­tunity to contribute to the future of enzyme engineering, bioin­for­matics, and molecular ML in an exciting, inter­di­sci­plinary environment.For more infor­mation about our group and research topics, visit: IPB Halle Department of Bioor­ganic Chemistry (NWC)

Who We’re Looking For:
We’re seeking a creative, motivated, and colla­bo­rative candidate with the following quali­fi­ca­tions:

Essential:

• Master’s or Diploma degree in Bioin­for­matics, Compu­ta­tional (Bio)Chemistry, Chemin­for­matics, Compu­ta­tional Biophysics, or a closely related field
• Strong programming skills (e.g., Python, C/C++)
• Knowledge of machine learning frame­works (e.g., PyTorch, TensorFlow)
• Very good English language skills, ability to commu­nicate ideas and results effec­tively
• Independent and solution-oriented work ethic
• Inter­di­sci­plinary mindset and enthu­siasm for teamwork
• Ability to work in a multi-cultural, multi-ethnic environment with sensi­tivity and respect for diversity

Desirable:

• Experience in chemin­for­matics, molecular modeling, or enzyme mecha­nisms
• Familiarity with databases, data mining, and knowledge management

Why Join Us:

• Be part of a dynamic, growing team in the field of enzyme and protein design
• Colla­borate in the context of a presti­gious DFG Priority Programme (SPP2363)
• Enjoy a vibrant scien­tific environment at the Weinberg Campus, Halle, co-located with the Martin Luther University
• Work in a highly inter­na­tional, supportive, and diverse research atmosphere
• Access to cutting-edge facilities in biotech­nology, struc­tural biology, proteomics, metabo­lomics, and more

Our benefits:

• Excellent working condi­tions in an inter­na­tional environment
• Flexible and family-friendly working hours and possi­bility of home-office
• Offer of profes­sional training courses and measures for skill impro­vement
• Compen­sation according to TV‑L (including annual special payment)
• Contri­bution to your company pension plan (VBL)
• On-site oppor­tu­nities for health promotion

About the institute:
As a member of the Leibniz Association, the Leibniz Institute of Plant Bioche­mistry (IPB) is a non-university research insti­tution on the Weinberg Campus in Halle (Saale). As a foundation under public law, the IPB is under the super­vision of the state of Saxony-Anhalt, Germany. The IPB is an inter­na­tio­nally renowned research insti­tution and consists of four scien­tific depart­ments and additional independent research groups (approx. 200 employees, including around 40 doctoral students). Research at the IPB aims to under­stand the (bio)chemical basis of the perfor­mance and resilience of plants under environ­mental condi­tions of climate change. The IPB offers excellent research condi­tions and a state-of-the-art infra­structure to inves­tigate the chemical diversity, bioche­mical inter­ac­tions and biolo­gical functions of small natural product molecules in plants and fungi. The focus is on specia­lized metabolites, chemical mediators and relevant molecular networks of functional gene and protein regulation (http://www.ipb-halle.de).

How to Apply:
Please email a single PDF file containing the following documents to bewerbungen@ipb-halle.de (Subject: PhD ML Enzyme Design – Ref No. 11/2025):

• Cover letter detailing your previous research experience and motivation
• CV with publi­cation list (if appli­cable)
• Academic transcripts (Bachelor & Master)
• Contact details of two academic referees (or attach two recom­men­dation letters)

Appli­cation review begins immediately and will continue until the position is filled.

For informal inquiries, contact Dr. Mehdi D. Davari (mehdi.davari@ipb-halle.de).

Foreign quali­fi­ca­tions must comply with German standards (TV-L-EntgeltO Proto­kol­lerklärung Nr. 1 Absatz 4) and be certified (equiva­lence test in Germany, subject to a fee) and presented to IPB Human Resources at the time of hiring: https://www.kmk.org/zab/central-office-for-foreign-education

Diversity, family and equal oppor­tu­nities:
The Leibniz Institute of Plant Bioche­mistry has set itself the goal of equal oppor­tu­nities, diversity and the promotion of work-life balance and has been awarded the ‘Total E‑Quality’ award for this. The IPB is also a member of the nationwide corporate network ‘Success Factor Family’ and the Diversity Charter.

Appli­ca­tions from disabled persons or appli­cants with equivalent status are expressly welcome.

Further infor­mation on family friend­liness, equal oppor­tu­nities and diversity can be found at: https://www.ipb-halle.de/institut/

Data protection:
Please note the data protection infor­mation for appli­cants (m/f/d) in accordance with Art. 13 and 14 GDPR on data processing in the appli­cation process at the following link
https://www.ipb-halle.de/karriere/datenschutzhinweise-fuer-bewerber/

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM), a legal foundation under civil law in Freising, is a research insti­tution of the Leibniz Association that combines methods of biomole­cular basic research with analysis methods of bioin­for­matics and analy­tical high-perfor­­­mance techno­logies to inves­tigate the complex interplay between the human organism and food
ingre­dients.

The research group Integrated Food Systems Analysis, a part of Research Section III at Leibniz-LSB@TUM is currently looking for a scientist to start at the earliest possible date as

Working Group Leader (m/f/d)
The position is to be filled on a full-time (100% TV‑L E14 with the option of E15) basis for a period of 3 + 3 years.

Your job profile includes
— Integration of multi-omics data sets generated with innovative high-throughput techno­logies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and machine learning/artificial intel­li­gence methods in combi­nation with complex network analysis tools to predict and model inter­ac­tions between food and biolo­gical systems
— Further scien­tific develo­pment of this Working Group to support the Food Systems Biology approach at the Leibniz-LSB@TUM
— Acqui­sition of third-party funding and scien­tific management of the research projects conducted within the working group
— Super­vision of doctoral candi­dates and students in conducting independent scien­tific research
— Estab­lishment of colla­bo­ra­tions within the Leibniz-LSB@TUM and with external colla­bo­ration partners
— Publi­shing scien­tific results in (high-impact) journals with a peer-reviewed process

Requi­re­ments:
The ideal candidate holds a PhD in Bioin­for­matics / Compu­ta­tional Systems Biology or a closely related scien­tific disci­pline and brings a strong background in bioin­for­matics, chemo­in­for­matics, machine learning, AI and data analysis of large biolo­gical datasets. Profi­ciency in programming and experience in mentoring and/or super­vising co-workers are highly desirable. A genuine interest in the subject matter (food science and multiomics), solid English language skills, self-motivation, and a readiness to establish a vibrant independent research program and tackle novel scien­tific challenges are considered essential. The ability to work both independently as well as within excellent teams, and strong organiza­tional skills complete the candidate’s profile.

Work environment:
Together with inter­na­tio­nally recognized experts, you will conduct research aimed at improving food and its
ingre­dients and promoting healthy human nutrition. Leibniz-LSB@TUM puts an emphasis on string
colla­bo­rative intra­mural inter­ac­tions and offers great support.

In addition to a multi­faceted workplace where your perfor­mance counts, we offer
— a perfor­­­mance-related salary in accordance with TV‑L, in-line with your personal quali­fi­ca­tions and the individual prere­qui­sites
— the interesting and varied task area of food systems biology and an academic research environment
— a motivated Leibniz-LSB@TUM-team that is looking forward to welcoming you
— flexible working times and therefore good compa­ti­bility of work and family
. company pension scheme
 special annual payment

In the case of equal suita­bility, severely-disabled appli­cants as defined SGB IX will be preferred.
Please address any technical questions to the head of Research Section III Prof. Zimmer (r.zimmer.leibnizlsb@
tum.de) and send your appli­cation with the usual documents/containing your compre­hensive CV and
transcripts as well as names of three potential references electro­ni­cally as a PDF file to the following address,
citing the reference number 2025–03-S3-RZ:
Anja Albrecht (Human Resources Department) recruiting.leibniz-lsb@tum.de.
Take advantage of this oppor­tunity and contact us!

Notes on data protection
As a part of your appli­cation for a position at Leibniz-LSB@TUM, you have submitted personal data to us. Please note our data protection infor­mation in accordance with Art. 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your appli­cation. By submitting your appli­cation, you confirm that you have taken note of the data protection infor­mation of
Leibniz-LSB@TUM.

The German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at the Heinrich Heine University (HHU) Düsseldorf is an inter­di­sci­plinary research institute that links basic and clinical sciences to improve prevention, diagnosis and therapy of Diabetes mellitus and its compli­ca­tions. The Paul Langerhans Group Compu­ta­tional Diabe­tology develops compu­ta­tional methods for the analysis of (multi-)omics data (genome, transcriptome, epigenome, proteome, metabolome) of DDZ associated cohort studies. The BARIA is a longi­tu­dinal study of indivi­duals under­going bariatric surgery aiming towards a better under­standing of obesity and associated cardio­vas­cular dysfunc­tions. Next to clinical and metabolic variables, the study gathers compre­hensive omics data from patient samples. For the integrated analysis of the various data modalities in this study, we are looking for a highly motivated and talented

Postdoc­toral Researcher (f/m/d)

for a full-time (100%) TV‑L E13 compen­sated position in the field of bioin­for­matics.

Your tasks

• Analyse compre­hensive multiomics data sets of the BARIA cohort
• Develop new machine learning / AI methods for multiomics data analysis
• Contribute to writing scien­tific papers and grant appli­ca­tions

Your profile

• Doctoral degree/Ph.D. in bioinformatics/computational biology, or related areas
• Strong under­standing of biolo­gical concepts
• Expertise in omics data analysis, algorithm develo­pment, machine learning / AI
• An analy­tical aptitude for devising innovative scien­tific or technical solutions
• Profi­cient in programming languages such as Python, Java, C/C++, Rust
• Excellent track record of scien­tific publi­ca­tions
• Excellent commu­ni­cation skills in English
• You are a team player and keen to colla­borate with medical resear­chers, physi­cians and biolo­gists to propel the project

Our Offer

• Support towards independent scien­tific work and scien­tific career develo­pment
• Association with compe­titive networks for training and mentoring including the German Center for Diabetes Research (dzd-ev.de)
• The position is awarded for 2 years starting at the next possible date, with the possi­bility of extension.
• Family-friendly working condi­tions and profes­sional equality. Since May 2011, the DDZ has been certified by the “career and family audit”. The provision of section §7 (1) of the Part-Time and Fixed-Term Act is taken into account.
• Salary is regulated by the collective agreement for the civil service of the state in the version valid for the state of North Rhine-Westphalia.
• Severely handi­capped persons will be preferred in case of equal quali­fi­cation.
• Women are given prefe­rence in case of equal quali­fi­ca­tions.

For further infor­mation on the project, please contact Jun.-Prof. Dr. Daniel Dörr (daniel.doerr@ddz.de). Please submit your complete appli­cation (motivation letter, CV, certificates/records) with the reference code PR-CD-25–3 via e‑mail to personal@ddz.de. The regis­tration and further processing of your appli­cation is carried out in the DDZ primarily by electronic data processing. The data protection regula­tions apply. By applying, the candidate agrees to this procedure.

Deutsche Diabetes-Forschungs­­­­­ge­­­sel­l­­­schaft e.V.
— Personal -
Auf’m Hennekamp 65, 40225 Düsseldorf
www.ddz.de

An der Techni­schen Hochschule Mittel­hessen ist am Campus Gießen im Fachbe­reich Mathe­matik, Natur­wis­sen­schaften und Infor­matik (MNI) folgende Stelle baldmög­lichst zu besetzen:

W2-Professur

mit dem Fachgebiet

Infor­matik mit Schwer­punkt Bioin­for­matik

Ref. Nr.: B 25–006

Die Technische Hochschule Mittel­hessen gehört zu den größten Hochschulen angewandter Wissen­schaften in Deutschland. Zur Verstärkung unseres Kolle­giums suchen wir eine Persön­lichkeit mit fundierter Praxis­er­fahrung in den Bereichen der Bioin­for­matik und Data Science. Sie/Er hat das Berufungs­gebiet in Forschung und Lehre (auch in den Grund­la­gen­ver­an­stal­tungen) zu vertreten und dabei dessen inter­dis­zi­pli­närem Charakter Rechnung zu tragen.

Erwartet werden fundierte Kennt­nisse in mindestens zwei der folgenden Gebiete:

• Maschi­nelles Lernen / Deep Learning
• Moleku­lar­bio­lo­gische Daten­analyse / *Omics
• System­bio­logie / Molecular Modeling
• Data Science im Bereich der Life Sciences.

Außerdem wird die Fähigkeit und Bereit­schaft erwartet, grund­ständige Lehrver­an­stal­tungen in den Bachelor- und Master­stu­di­en­gängen der Bioin­for­matik, Infor­matik und Data Science durch­zu­führen.

Als Technische Hochschule steht der Praxis­bezug im Fokus der Ausbildung der Studie­renden, so dass erfolg­reiche einschlägige praktische Tätig­keiten in der Industrie bzw. in der indus­trie­nahen Forschung, beispiels­weise in der Führung von wissen­schaft­lichen Arbeits­gruppen, unabdingbar sind.

Wir erwarten von unseren Profes­so­rinnen und Profes­soren:

• Engagement und Initiative an der Hochschule und intensive Betreuung der Studie­renden, damit verbunden die Bereit­schaft zur Wohnsitz­nahme im Raum Gießen
• Konti­nu­ier­liche Weiter­bildung in Fachwis­sen­schaft und Hochschul­di­daktik
• Betei­ligung an inter­na­tio­nalen Aktivi­täten der Hochschule
• Übernahme von Verant­wortung im Rahmen der akade­mi­schen Selbst­ver­waltung
• Befähigung und Neigung zur Forschung und Einwerbung von Dritt­mitteln
• Lehrver­an­stal­tungen an allen Hochschul­stand­orten (bei entspre­chendem Bedarf)
• hohe Präsenz der Lehrenden an der Hochschule
• Gute Deutsch- und Englisch­kennt­nisse, die eine quali­fi­zierte Lehre in deutscher und engli­scher Sprache ermög­lichen, werden voraus­ge­setzt.

Wir bieten unseren Profes­so­rinnen und Profes­soren:

• Einar­beitung durch Teilnahme an hochschul­di­dak­ti­scher Grund­schulung
• Leistungs­ori­en­tiertes Entgelt
• Arbeiten in angenehmer und kolle­gialer Atmosphäre
• Mitarbeit in den Kompe­tenz­zentren mit fächer­über­grei­fender praxis­be­zo­gener Forschung
• Möglichkeit zu Tätig­keiten in der Weiter­bildung

Es gelten die folgenden formalen Einstel­lungs­vor­aus­set­zungen gemäß § 68 HessHG:

• Abgeschlos­senes Hochschul­studium des entspre­chenden Wissen­schafts­ge­bietes
• Pädago­gische Eignung, die in der Regel durch Erfah­rungen in der Lehre, hochschul­di­dak­tische Quali­fi­ka­tionen und durch eine Probe­ver­an­staltung (Probe­vortrag, Probe­lehr­ver­an­staltung) nachge­wiesen wird
• Besondere Befähigung zu wissen­schaft­licher Arbeit, die in der Regel durch die Qualität der Promotion nachge­wiesen wird
• besondere Leistungen bei der Anwendung oder Entwicklung wissen­schaft­licher Erkennt­nisse und Methoden in einer mindestens fünfjäh­rigen einschlä­gigen beruf­lichen Praxis, von der mindestens drei Jahre außerhalb des Hochschul­be­reichs ausgeübt worden sein müssen oder
• zusätz­liche wissen­schaft­liche Leistungen

Die Stelle steht unbefristet zur Verfügung. Bei der ersten Berufung auf eine Professur erfolgt die Einstellung zunächst in einem Beamten­ver­hältnis auf Probe bzw. in einem Angestell­ten­ver­hältnis. Im Übrigen wird auf § 67 Hessi­sches Hochschul­gesetz Bezug genommen.

Die Technische Hochschule Mittel­hessen strebt im Bereich des wissen­schaft­lichen Personals die Erhöhung des Anteils der Frauen an. Entspre­chend quali­fi­zierte Wissen­schaft­le­rinnen werden nachdrücklich um ihre Bewerbung gebeten.

Schwer­be­hin­derte Bewer­be­rinnen und Bewerber werden bei gleicher Eignung besonders berück­sichtigt.

Als famili­en­freund­liche Hochschule unter­stützen wir unsere Beschäf­tigten bei der Verein­barkeit von Familie und Beruf. Eine Beschäf­tigung mit reduzierter Arbeitszeit ist im Rahmen der gesetz­lichen Bestim­mungen möglich.

Damit wir uns ein umfas­sendes Bild von Ihnen machen können, sollte Ihre Bewerbung folgende Unter­lagen beinhalten: Anschreiben, tabel­la­ri­scher Lebenslauf, Zeugnis­kopien, Beurtei­lungen, lückenlose Tätig­keits­nach­weise, Veröf­fent­li­chungen sowie ein Lehr- und Forschungs­konzept. Bei einem im Ausland erwor­benen Hochschul­ab­schluss, bitten wir Sie, Ihrer Bewerbung eine Zeugnis­be­wertung beizu­fügen.

Ihre aussa­ge­kräftige Bewerbung richten Sie bitte ausschließlich über unser Bewer­ber­ma­nage­ment­system bis 28. Mai 2025 unter Angabe der Referenz­nummer an den Präsi­denten der Techni­schen Hochschule Mittel­hessen.

Mit dem Absenden einer Bewerbung willigen Sie ein, dass Ihre Daten zum Zwecke des Stellen­be­set­zungs­ver­fahrens gespei­chert und verar­beitet werden.