Lecturer in Signal Processing & Machine Learning

Teaching Responsibilities

In the role of a lecturer, the successful candidate will teach undergraduate courses in the Electrical & Computer Engineering (ECE) program. The expected workload for the in-class lecture conduction is 8 academic hours per week, at least 240 academic hours per year (1 academic hour equals 45 minutes).

Teaching should reflect current research methods and results, and comprises lectures on the following modules:

• Analog Signals and Systems (45AH)
• Digital Signals & Systems (45AH)
• Machine Learning (45AH)
• Operating Systems/Computer Architecture (45AH)
• Computer Vision/Image Processing (45AH)
• Software Engineering (45AH)

The named courses are subject to change on the 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 is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of Signal Processing, Data Analytics and Machine Learning, and Deep Learning/Computer Vision along with knowledge and experience in Artificial Intelligence and Database Management Systems. 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 ECE program by participating in administrative, marketing, and other public activities of the program in consultation with Academic Coordinator of the study program and German partner universities. He or she is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and the 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. in Electronics, Computer Engineering, Communications & Signal Processing, Data Science and Machine Learning, Artificial Intelligence, or a closely related field, preferably from a well-known international university. Other requirements include:

• An outstanding academic record with a focus on Analog and Digital Signal Processing, Machine Learning, or other areas closely related to it;
• Knowledge in Software Engineering, Communications Engineering, Artificial Intelligence;
• Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area;
• Experience in the industry is of advantage;
• Proven high 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 become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers.

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 the subject line “Signal Processing & Machine Learning_[Your Name]”.

Your application should include:

• Form for basic information (Please download, complete this form electronically and submit it together with your application)
• A cover letter stating your interest in joining VGU
• Curriculum Vitae (including a list of publications)
• Scans of university degrees, university transcripts and other relevant certificates
• Scans of language certificates (if applicable)
• 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 Coordinator, Assoc. Prof. Dr. Thai Truyen Dai Chan, at chan.ttd@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 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 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.