The School of Computer Science and Engineering is inviting applications for tenure-track faculty positions at all ranks.
The University of Aizu is seeking outstanding and innovative persons in Computer Science and Engineering (CSE) fields from academia and industry. The School of Computer Science and Engineering invites applications for faculty positions at all ranks. Faculty should be able to teach undergraduate and graduate courses and conduct research in the CSE area. Applicants should also have a strong interest in working with other faculty members and promoting University-Industry relations through cooperative research projects and other activities. Applicants with teaching experience preferred. Experience in practical research applications is also highly evaluated.
Three-year tenure-track appointment followed by evaluation and tenure until mandatory retirement age of 65 if qualified.
Duty hours: 7 h 45 min/day, 38 h 45 min/week. Discretionary Labor System for Professional Work.
Salary and rank: Commensurate with qualifications and experience according to regulations of Fukushima prefecture.
Annual salary (*1, *2) and rank:
*Professor: approx. 6,500,000 - 8,000,000 yen
*Senior Associate Professor: approx. 5,500,000 yen - 7,500,000 yen
*Associate Professor: approx. 5,000,000 yen - 7,000,000 yen
(*1) Other allowances are paid addition to the base salary.
(*2) Social security premiums, taxes, etc. will be deducted from the salary.
Holidays: Saturday, Sunday, National holidays, and Year-end and New Year holidays (Dec. 29 to Jan. 3)
Insurance: Japan Mutual Aid Association of Public School Teachers
In addition, both pension and severance payment systems are in place.
A faculty housing is located about 2.5 km from the university.
Normal employment starting date is October 1, 2019, but this is negotiable.
1. Cover letter
2. Curriculum Vitae (Use the specified template).
3. Copies of your three best published papers
4. Three current letters of recommendation/contact information for referees
Please submit letters of recommendation in one of the following ways.
*Applicant makes each letter of recommendation (with recommender's autograph or seal) into an electronic file, and send all the documents together.
*Each recommender sends an electronic file directly to the application mail address below.
5. Copies of university diplomas
6. URLs or other supporting materials, including a list of possible courses to teach with brief syllabi
7. Research and education plans
8. Category you would like to apply (for example, CS-2, CE-1)
All documents should be submitted electronically to cse-position[at]u-aizu.ac.jp
April 14th, Sunday, 2019
Prof. Kyoko Okudaira
Office for Planning and Management
University of Aizu
Aizu-Wakamatsu, Fukushima 965-8580
Qualifications for all fields:
1. Ph.D. or equivalent in Computer Science and Engineering or a closely related area. Doctoral students who are close to graduation may apply, but the degree is required by the start of employment.
2. Ability to lecture and provide research guidance at undergraduate and graduate levels.
3. Full fluency in English or Japanese is required. In addition, a working knowledge of the 2nd other language as Japanese/English is desirable. Classes may be conducted either in English or in Japanese at undergraduate level. Language of instruction at graduate level is English in principle.
Required expertise in research and education for different fields:
Please select one or two categories (for example, CS-2, CE-1) from below that you would like to apply. We are searching a new faculty who has research and teaching experiences in the topics given below. Successful candidates are expected to contribute to all academic aspects of the university, including teaching, supervision of undergraduate and graduate students, serving on administrative and management committees, and conducting research.
Computer Science (CS)
CS-1: Data science, big-data processing and analysis
CS-2: Probabilistic modelling and inference
CS-3: Ontology engineering and web-intelligence
CS-4: Machine learning and knowledge acquisition
CS-5: Mathematical programming, optimization, and metaheuristics
CS-6: Automatic control and intelligent robotics
CS-7: Artificial Life
CS-8: Other areas related to Cognitive Science and Artificial Intelligence
Successful candidates are expected to teach basic courses related to mathematics and physics (e.g. linear algebra, calculus, discrete mathematics, topology, mechanics, electromagnetism, etc.) in both English and Japanese, in addition to courses related to the above expertise.
Computer Engineering (CE)
CE-1: Big Data Management
CE-1-1 Algorithms and Systems for Big Data Search
CE-1-2 Cloud Data Mining
CE-2: Big Data Infrastructure
CE-2-1 High-performance/Parallel Computing Platforms for Big Data,
CE-2-2 Software Techniques and Architectures in Cloud Computing,
CE-2-3 Cloud Computing for Big Data
CE-3: Big Data Security, Privacy and Trust
CE-3-1 High-performance Cryptography,
CE-3-2 Threat Detection using Big Data Analytics,
CE-3-3 Privacy Preserving Big Data Collection
CE-4 Neuromorphic Computing and Neural Networks Hardware
CE-4-1 AI (Artificial Intelligence) accelerators
CE-4-2 Neuromorphic hardware (high-speed communication circuits, memory systems)
Ce-4-3 VLSI design for AI workloads
CE-5 New Trends of Computer and Communication Networks
CE-5-1 Blockchain technologies and applications
CE-5-2 IoT technologies and applications
CE-5-3 5G technologies and applications
Information Systems (IS)
IS-1: Biomedical engineering
IS-2: Cloud computing
IS-3: Computer graphics, animation, and geometric modeling
IS-4: Computer vision and image processing
IS-5: Data modeling and database systems
IS-6: Data sciences: big data & data mining
IS-7: Environmental sensing
IS-8: IoT (internet of things) and ubiquitous computing
IS-9: Mobile computing
IS-10: Multimedia, mixed & virtual reality (XR)
IS-11: Natural language processing (NLP) and information retrieval
IS-13: Security, including mobile security
IS-14: Scientific visualization, information visualization, and data analytics
IS-15: Software engineering
Primary selection: documentary evaluation
Candidates will be informed by e-mail after the primary selection
Secondary selection: job interview and presentation
*Please note that we shall have a 10-day holiday (Golden Week holidays) from April 27 to May 6 this year.