"Full-time Lecturer in Deep Learning and Generative AI"

The Vietnamese-German University (VGU) is seeking up to two highly qualified full-time lecturers in Deep Learning and Generative AI. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate(s) will become part of an international network of universities and research institutes.

Teaching Responsibilities

In the role of a lecturer, the successful candidate(s) will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS)program. The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes).

Teaching should reflect current research methods and results, and comprises lectures on two to four modules from the following areas:

• Data Structures & Algorithms for Machine Learning
• Mathematics for Machine Learning
• Machine Learning Foundation
• Machine Learning Techniques
• Computer Vision
• Deep Machine Learning
• Natural Language Processing
• Artificial Intelligence
• Generative AI
• Compulsory elective modules
• Computing Theory

The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects.

The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students.

Research Responsibilities

As a faculty member of a research-oriented university, the successful candidate(s) is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of deep learning, generative AI (including generative models and neural network architectures), and data augmentation (e.g., audio-signal processing, adversarial training, computer vision). The ability to apply and generate externally funded research projects is highly desirable.

Administrative responsibilities

The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies.

Qualification

Candidates must hold a Ph.D. inArtificial Intelligence, Computer Science, Information Systems or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include:

• An outstanding academic record with a focus on data augmentation & engineering, advanced deep learning,reinforced learning, multimodal learning, federated learningor other areas closely related to it
• Proven expertise intechniquesfor noise detection, MLOps, agentic workflows, data pruning, and retrieval-augmented generation
• Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area
• Proven teaching experience with strong self-motivation combined with a passion for teaching and research
• Experience in industry is an advantage

• Proven excellent English proficiency:

Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.

Employment benefits

The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research.

VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research.

VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange.

VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students.

Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here.

Application

To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Deep Learning and Generative AI_[Your Name]"

Your application should include:

• Form for basic information (Please download here, complete this form electronically and submit it together with your application)
• A cover letter stating your interest in joining VGU
• Curriculum Vitae (including list of publications)
• Scans of university degrees, university transcripts and other relevant certificates
• Scans of language certificates (if available, highly appreciated)
• References illustrating your professional and academic career, including contact details of references (if available, highly appreciated)
• Evaluation results for teaching (if available)

All applications will be reviewed and evaluated by VGU's international Application Review Team.

For further information, please contact:

• Program Academic Director at rschorr@fb2.fra-uas.de and/or
• Program Academic Coordinator at son.ll@vgu.edu.vn

About us

The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region.

VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures.

As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.