【Application Closed】The School of Computer Science and Engineering is inviting applications for tenure-track faculty positions at all ranks

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.

Employment:

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.

Submission Package:

1. Cover letter

2. Curriculum Vitae (Use the specified template).

3. Copies of your three best published papers

4. Three current letters of recommendation and 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.

Or

*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 (in English) should be submitted electronically to cse-position[at]u-aizu.ac.jp

Download Curriculum Vitae Template (PDF)(Word)

Submission deadline:

April 14th, Sunday, 2019

Application address:

Prof. Kyoko Okudaira

Office for Planning and Management

University of Aizu

Aizuwakamatsu, Fukushima 965-8580

Japan

E-mail: cse-position[at]u-aizu.ac.jp

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-12: Robotics

IS-13: Security, including mobile security

IS-14: Scientific visualization, information visualization, and data analytics

IS-15: Software engineering

Selection process:

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.