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Technische Hochschule Ingolstadt

Ingolstadt, Germany
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About Technische Hochschule Ingolstadt

Basic information and contact details for Technische Hochschule Ingolstadt

Technische Hochschule Ingolstadt is a German university specialising in mobility, engineering, business and sustainable technologies. 

Located in Ingolstadt, Bavaria, the university educates over 8,100 students through more than 75 bachelor’s and master’s programmes, combining theory with strong practical focus. The university employs roughly 900 staff, including 210 professors across six faculties: Mechanical Engineering, Electrical Engineering, Computer Science, Business Administration, Social Work and Health Sciences, and Energy and Construction (at the Neuburg campus).

The main Ingolstadt campus features advanced labs and the CARISSMA crash research centre, recognised nationally for vehicle safety studies. The Neuburg campus focuses on energy efficiency, environmental technology and sustainable construction. The university’s teaching model requires every bachelor’s student to complete a practical semester and encourages internships with partner companies, fostering real-world skills and industry networks.

Research is a major strength, with an annual budget of around €33 million distributed across eight specialised research institutes covering artificial intelligence, robotics, renewable energy, sustainable mobility and digital transformation. The university supervises over 160 doctoral candidates and participates actively in European research consortia and industry partnerships.

Internationalisation is central, with 160 global partner universities and English-language modules to support exchange and mobility. 

Student services include modern libraries, virtual reality labs, computing facilities, collaborative project spaces and a vibrant campus life with sports, clubs and cultural events. Continuing education is offered via the TCW campus for professionals seeking career development.

 

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Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/

Salary

Competitive

Posted

8 May 2026

Lecturer in Mathematics

VIETNAMESE-GERMAN UNIVERSITY

Vietnamese-German University

Vietnam

institution

Vietnamese-German University

Vietnam


The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Mathematics. 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 of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach Mathematics courses in the Faculty of Engineering, mainly courses in the Bachelor's program in Sustainable Process Engineering (SPE). The expected workload for the in-class lecture conduction 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 the following modules: Linear Algebra and Calculus Advanced Calculus and Differential Equations Probability and Statistics Numerical Mathematics 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 PhD 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 Mathematics. We seek candidates with a strong foundation in Numerical Analysis and Computational Mathematics. While expertise in a range of methods is valued, we particularly encourage applications from individuals with experience or demonstrated interest in one or more of the following areas: Numerical methods for differential equations (e.g., finite element methods, finite volume methods, or related discretization techniques). Computational modeling of complex systems, including physics-based or data-driven approaches. Emerging challenges in modern numerical analysis, such as uncertainty quantification, high-dimensional problems, scientific machine learning, or optimization. Candidates with complementary expertise in related areas of applied or computational mathematics are also encouraged to apply. 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 Sustainable Process Engineering (SPE) 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 Ruhr-Universität Bochum. 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. in Mathematics, or a closely related field, preferably from a well-known international university. 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 Mathematics or other areas closely related to it; Proven expertise in Mathematics; 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 of 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.[1] 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: 10 MB) to academicpositions@vgu.edu.vn with subject line "Mathematics_[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, Prof. Dr.-Ing. Marcus Grünewald, at marcus.gruenewald@fluidvt.ruhr-uni-bochum.de and/or Program Academic Coordinator, Dr. Trịnh Thị Thanh Huyền, at huyen.ttt@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.

Salary

Competitive salary

Posted

8 May 2026

Senior Lecturer, Clinical Psychology

FEDERATION UNIVERSITY AUSTRALIA

Federation University Australia

Australia, Berwick

institution

Federation University Australia

Australia, Berwick


Institute of Health and Wellbeing - Ballarat or Berwick Campus Full-time, continuing appointment Academic Level C - $142,267 p.a. plus up to 17% superannuation About the role As an integral member of our team, you will contribute to the development and delivery of units within psychology at undergraduate and postgraduate levels. You will also supervise students undertaking psychology placement within FedCare Psychology Services and contribute to the Institutes administrative functions. You will: provide leadership in developing, teaching, coordinating, and moderating units in psychology; undertake teaching and assessment of undergraduate and postgraduate students; supervise students undertaking project units, honours courses and research higher degrees; and supervise students undertaking psychology placements within FedCare Psychology Services. About you You will work as part of the institutes team of academic and administrative staff. You will possess proven educational, research and professional experience and seek to embed long and short-term research strategies for the institute within the strategic framework of the University and in accordance with its mission. You will be a creative thinker and avid problem solver, who possesses initiative, innovation, and a can-do attitude. You will possess: general registration as a psychologist, clinical endorsement, and Board Approved supervisor status with AHPRA; demonstrated commitment to and enthusiasm for teaching and learning; demonstrated course, program or unit coordination experience, or equivalent high level organisational skills; and capacity to support students completing placement. All University positions must hold a valid Employer Working With Children Check (WWCC). Please refer to the position description for WWCC requirements. Aboriginal and Torres Strait Islander people are encouraged to apply. How to apply Please apply by Sunday, 24 May 2026 Applicants are required to submit a resume and a response to the key selection criteria. View position description Federation University is committed to The Circle Back Initiative program, whereby we will respond to every applicant. If you are experiencing technical difficulties with your application, please email the Recruitment team or phone 03 5327 9756. Our position descriptions also list a contact person for job specific inquiries. For more information on a career with us, please visit our website or let our staff tell you more.

Salary

$142,267 p.a. plus up to 17% superannuation

Posted

8 May 2026

Senior Lecturer in Management and Business Analytics

Oxford Brooks College, Chengdu University of Technology

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu

institution

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu


Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Management and Business Analytics Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Management and Business Analytics, a programme designed to equip students with the unique combination of technical analytical skills and strategic leadership capabilities required to thrive in today's data-driven business world. If you are an educator who can bridge the gap between data science and management practice, we want to hear from you. The Role You will deliver high-quality, engaging teaching across the programme's core modules, which integrate management theory with practical business analytics. Your teaching portfolio will span both the analytical and leadership dimensions of the curriculum, including: Business Analytics & Data-Driven Core: Business Analytics (AISO7003): Guiding students through data preparation, visualisation, and modelling using analytical tools and programming languages. Data Driven Decision Making (AISO7004): Teaching students to apply decision science frameworks and simulation techniques under conditions of uncertainty. The Practice of Data Analysis (AISO7002): Equipping students with statistical and econometric skills to examine data and produce actionable business intelligence. Business Intelligence (AISO7001): Demonstrating how to collect, integrate, analyse, and present business information to support strategic decisions. Management & Leadership Core: Organisational Behaviour, Leadership and Change (BMGT 7077): Exploring the human and cultural dimensions of managing change in modern, diverse organisations. Developing Skills for Leadership and Employability (BMGT 7076): Fostering students' self-awareness, reflexivity, and interpersonal skills for effective leadership and career development. Research Methods (BMGT 7021): Preparing students to conduct rigorous, ethical research, culminating in a dissertation or client project with a business analytics focus. This role requires a unique ability to help students understand how analytics informs leadership decisions. You will teach students to move from data preparation and statistical analysis to strategic interpretation and managerial action, always with an emphasis on ethical practice, sustainability, and responsible management. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across both business analytics and management/leadership modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and statistical software to analyse data, while simultaneously developing their leadership, communication, and change management capabilities. Guide students in understanding how data-driven insights translate into strategic business decisions, fostering a holistic approach to management. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied business analytics problems. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested.  Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Uphold the highest standards of education and scholarly engagement, integrating principles of sustainability, ethics, and responsible management into your teaching. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Business Analytics, Management Science, Data Science, Organisational Behaviour, or a closely related field with a strong quantitative focus. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach both technical analytics skills and management/leadership concepts, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data analysis (e.g., Python, R) and statistical software. A strong understanding of management principles, including organisational behaviour, leadership, and change management. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in business analytics, data-driven decision-making, or a related field, evidenced by publications. Experience with industry collaboration or applied analytics projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with business intelligence tools and platforms. Experience teaching or working at the intersection of data analytics and management practice. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Management and Business Analytics. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.

Salary

Competitive

Posted

8 May 2026

Post-Doctoral Associate / Associate Research Scientist in the Division of Engineering

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals. To be considered, all applicants must submit the following documents in PDF format via Interfolio: Cover letter Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters  Three sample (recent and/or most relevant) journal publications Contact details of two references The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled. If you have any questions or require more information, please email: mohamed.moustafa@nyu.edu About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. UAE Nationals are encouraged to apply

Salary

Competitive

Posted

8 May 2026

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Subjects Taught at Technische Hochschule Ingolstadt

See below for a range of subjects taught at Technische Hochschule Ingolstadt

Arts and Humanities

  • Architecture

Business and Economics

  • Accounting and Finance
  • Business and Management

Computer Science

  • Computer Science

Engineering

  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Life Sciences

  • Biological Sciences