Advanced Technology Applications Center (ATAC), Global Databases Division, Global Infrastructure Sector
Grade - P3
Contract Duration - 12 months
Duty Station: CH-Geneva
Publication Date: 01-Mar-2019
Application Deadline: 23-Mar-2019, 12:59:00 AM
IMPORTANT NOTICE REGARDING APPLICATION DEADLINE: Please note that the deadline for applications is indicated in local time as per the time zone of the applicant’s location.
1. Organizational Context
a. Organizational Setting
The position is located in the Advanced Technology Applications Center (ATAC) of the Global Database Division, Global Infrastructure Sector. The Section is responsible for providing support in machine learning applications to other database sections, other WIPO divisions and to other external entities. The Section has developed its own machine learning automatic translation tool, WIPO Translate for WIPO and other international organizations. ATAC has developed competencies in other machine learning applications, including speech and images and wishes to continue exploring the applicability of Machine Learning to other activities.
b. Purpose Statement
The incumbent is responsible for exploring new research algorithms, mostly using deep supervised machine learning techniques that can be applied to improve WIPO processes and/or generate new business opportunities. The current exploratory work is divided into three main components: Text, Speech and Images. Text includes Machine Translation, text classification and chatbots; Speech includes speech recognition and speech translation; Image includes image classification and similarity (in the context of trademarks and/or industrial designs). During the initial contract, the incumbent will concentrate more on speech processing but might later work on other machine learning activities.
c. Reporting Lines
The incumbent reports to the Senior Machine Learning Specialist in the Advanced Technologies Applications Center.
2. Duties and Responsibilities
The incumbent will perform the following principal duties:
a. Manage Speech to text tool design and development: explore various techniques, evaluate carefully their performance in our context, maintain and develop further the existing tool (voice recognition on conference audio-video files using deep supervised machine learning technique).
b. Speech training data collection: collect all the audio-transcript data that can be useful for training a model, e.g. analyze/convert current audio file formats, taking into account various sources of the audio transcripts, analyze/convert current formats, taking care to align the texts with corresponding audio and meta-data, analyze carefully the meta-data than can provide useful information for a better model representation, contact other organizations and carefully study their data and define automatic cleaning methods to reduce data noise
c. Integrate the speech-to-text tool with a more generic product providing several functionalities: voice recognition, fulltext search engine, an interface to browse video/audio aligned with transcripts, editing interface, speaker identification and segmentation, etc. Study the possibility to do live-captioning.
d. Study and adapt existing WIPO Translate tool to be cascaded after speech recognition. In parallel, study the possibility to develop our own end-to-end speech-to-translated text tool.
e. Participate in the development of the chatbot project: from questions-answers collected from customer services, explore the usage of similarity-based approaches and generative approaches to propose an answer for a new request coming from a user.
f. Design machine learning algorithms, define carefully the data training set, develop cleaning and filter methods on the data, perform quantitative and qualitative analysis. Study the current state of the art technology, evaluate the pros and cons of various methods, define a strategy for experimenting with one (few) technology(ies) in our context.
g. Collaborate with various WIPO units to define possible areas of application of new and existing machine learning tools. Develop proof of concept prototypes to demonstrate the applicability and pertinence of machine learning tools. Identify new business opportunities
h. Perform other related tasks as required.
First-level university degree in Information Technology, mathematics, electronics or signal processing. An advanced university degree in the fields above may substitute two years’ of required experience.
At least six years’ experience in speech processing and/or machine learning.
Experience in implementing Machine Learning projects and/or making significant scientific contribution in Machine Learning.
Experience in using and designing neural networks.
Knowledge of audio/video processing techniques.
Excellent knowledge of English.
Knowledge of other official UN languages.
Job Related Competencies (Essential)
Knowledge of machine learning techniques (especially neural networks).
Strong software development skills.
Good analytical and problem-solving skills and the ability to understand and document IT processes.
Excellent interpersonal skills and ability to maintain effective partnerships and working relations in a multi-cultural environment with sensitivity and respect for diversity.
Job Related Competencies (Desirable)
Neural Networks frameworks: (Tensorflow, Pytorch, Theano, Keras)
Experience with neural machine translation (RNN, transformers)
Experience with Unix (Linux, bash, tomcat, ant)
Experience with version control systems (SVN, GIT) and deployment strategies (virtual machines, docker, cloud servers etc.)
Good knowledge of signal processing techniques (speech, image, video)
Ability to write user guide, administration documentation and reports in English.
Excellent decision-making and problem-solving skills.
Knowledge of IP information tools, products and standards.
4. Organizational Competencies
1. Communicating effectively.
2. Showing team spirit.
3. Demonstrating integrity.
4. Valuing diversity.
5. Producing results.
6. Showing service orientation.
7. Seeing the big picture.
8. Seeking change and innovation.
9. Developing yourself and others.
Total annual salary consists of a net annual salary (net of taxes and before medical insurance and pension fund deductions) in US dollars and a post adjustment. The post adjustment (cost of living allowance) is variable and subject to change without notice in accordance with the rates as set within the UN Common System for salaries and allowances. The figures quoted below are based on the March 2019 rate of 67.6%.
Salaries and allowances are paid in Swiss francs at the official rate of exchange of the United Nations (not applicable for the External Offices).
Please refer to WIPO’s Staff Regulation and Rules for detailed information concerning salaries, benefits and allowances.
Temporary appointments are renewable, subject to continuing needs, availability of budget and satisfactory performance with a maximum cumulative length of two years.
Applications from qualified women as well as from qualified nationals of unrepresented Member States of WIPO and underrepresented geographical regions are encouraged. Please click on the following links for the list of unrepresented Member States and the list of underrepresented regions and the WIPO Member States in these regions.
The Organization reserves the right to make an appointment at a grade lower than that advertised.
By completing an application, candidates understand that any willful misrepresentation made on this web site, or on any other documents submitted to WIPO during the application, may result in disqualification from the recruitment process, or termination of employment with WIPO at a later date, if that employment resulted from such willful misrepresentations.
In the event that your candidature is shortlisted, you will be required to provide, in advance, a scanned copy of an identification and of the degree(s)/diploma(s)/certificate(s) required for this position. WIPO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed through the link: http://www.whed.net/. Some professional certificates may not appear in the WHED and these will be reviewed individually.
Additional testing/interviewing may be used as a form of screening. Initial appointment is subject to satisfactory professional references.
Additional background checks may be required.