PhD position PhilHumans project
PhD position PhilHumans project
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Job description
We are looking for a PhD at the Department of Computer Science and Mathematics of the Eindhoven University of Technology in the fields of machine learning and artificial intelligence. The PhD student will work in the PhilHumans project (Personal Health Interfaces Leveraging Human-Machine Natural interactions - an interdisciplinary training program for young researchers) under the Marie Skłodowska-Curie - ITN, Industrial Doctorate (GA n. 812882).
Project description:
PHILHUMANS is an international, inter-sectoral, interdisciplinary project providing Marie Skłodowska-Curie PhD Fellowships an Early Stage Researcher (ESR), with the potential to become the leaders of tomorrow innovative Artificial Intelligence (AI) and establish user interaction with their personal health devices.
More specifically, the PHILHUMANS research program will investigate novel AI methods for human-machine interaction in the personal health domain through a well-designed and well-structured research training programme. It will require the creation of a blend of interdisciplinary understanding of personal digital assistant, cognitive computing, (deep) ML, (multilingual) NLP, advanced computer vision, Big Data, within the inter-sectoral academic, medical and industrial environment of the beneficiaries and partners.
The project will offer an ambitious and innovative doctoral program for a new PhD student, combining academic excellence with strong international business attitude, inspired to innovation-oriented mind-set.
Mobility plays a central role in the programme: the PhD student will follow a secondment scheme training them in academic institutions as well as companies, moving from analytics, business, security and privacy as well as between academic research and company based development projects (all PhD students are required to spend at least 50% of their time at non-academic institution, mainly at Philips' premises). Mobility periods are foreseen both in European countries.
The rotation of PhD students among the partners will bring PhD students to learn complementary techniques and methods, which will broaden their perspectives and capabilities, and enhance their career development.
The PhD topic is related to Advanced (big-) data driven machine learning for improved applications in personal health.
An example application of scientific research done by the candidate maybe program synthesis techniques for personal health services. A personal health service, for example, in a smartphone app, helps a user to follow a care program or adopt healthier behaviors to reach certain health benefits. Typical examples are fitness or maternity services, or apps for chronic disease management or substance abuse. A program should be engaging, lead to the target results as safely, efficiently, and conveniently as possible, and adapt to any changes on the way. Designing software that optimally meets all these goals has turned out to be very difficult.
One of the growing areas of computational intelligence is automatic programming, where a learning algorithm produces a goal-oriented program in the form of executable software. The program may be learned from data (program induction), or generated based a high-level specification of the goals (program synthesis). The optimization of the program uses the knowledge that is inserted into and accumulated by the system during the operation. Program synthesis has been popular in automatic game playing and robotics. In the PhD project the goal is to develop technology for the synthesis of the software for a personal health service. A successful candidate should have a strong background in machine learning and computer science, and good skills in programming (Python, Java).
An extensive project description is available on request.
Tasks of the PhD student:carry out research within the project, in cooperation with the other parties involved; report on the results in project deliverables, papers and conference contributions; a small contribution to the teaching activities of the Computer Science Faculty may be asked.
Project description:
PHILHUMANS is an international, inter-sectoral, interdisciplinary project providing Marie Skłodowska-Curie PhD Fellowships an Early Stage Researcher (ESR), with the potential to become the leaders of tomorrow innovative Artificial Intelligence (AI) and establish user interaction with their personal health devices.
More specifically, the PHILHUMANS research program will investigate novel AI methods for human-machine interaction in the personal health domain through a well-designed and well-structured research training programme. It will require the creation of a blend of interdisciplinary understanding of personal digital assistant, cognitive computing, (deep) ML, (multilingual) NLP, advanced computer vision, Big Data, within the inter-sectoral academic, medical and industrial environment of the beneficiaries and partners.
The project will offer an ambitious and innovative doctoral program for a new PhD student, combining academic excellence with strong international business attitude, inspired to innovation-oriented mind-set.
Mobility plays a central role in the programme: the PhD student will follow a secondment scheme training them in academic institutions as well as companies, moving from analytics, business, security and privacy as well as between academic research and company based development projects (all PhD students are required to spend at least 50% of their time at non-academic institution, mainly at Philips' premises). Mobility periods are foreseen both in European countries.
The rotation of PhD students among the partners will bring PhD students to learn complementary techniques and methods, which will broaden their perspectives and capabilities, and enhance their career development.
The PhD topic is related to Advanced (big-) data driven machine learning for improved applications in personal health.
An example application of scientific research done by the candidate maybe program synthesis techniques for personal health services. A personal health service, for example, in a smartphone app, helps a user to follow a care program or adopt healthier behaviors to reach certain health benefits. Typical examples are fitness or maternity services, or apps for chronic disease management or substance abuse. A program should be engaging, lead to the target results as safely, efficiently, and conveniently as possible, and adapt to any changes on the way. Designing software that optimally meets all these goals has turned out to be very difficult.
One of the growing areas of computational intelligence is automatic programming, where a learning algorithm produces a goal-oriented program in the form of executable software. The program may be learned from data (program induction), or generated based a high-level specification of the goals (program synthesis). The optimization of the program uses the knowledge that is inserted into and accumulated by the system during the operation. Program synthesis has been popular in automatic game playing and robotics. In the PhD project the goal is to develop technology for the synthesis of the software for a personal health service. A successful candidate should have a strong background in machine learning and computer science, and good skills in programming (Python, Java).
An extensive project description is available on request.
Tasks of the PhD student:
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
We are looking for a candidate who meets the following requirements:A master's degree (or an equivalent university degree) in computer science, information science or related fields (mathematics or electrical engineering); A research oriented attitude; Experience in at least one of the following areas: NLP, text mining, machine learning, and knowledge management Solid programing skills (e.g. java) Knowledge of Phyton, R Tensorflow, or similar languages and tools is a plus; Ability to work in a team, interest in collaborating with the industrial partners; Fluent in spoken and written English.
Formal requirements:
Degree: Master degree or equivalent providing access to PhD programs.
Language: English proficiency must be attested either through a previous English language diploma, or an internationally recognized proficiency test (at least C1 level of the Common European Framework of Reference for Languages i.e. IELTS, IBT, TOEFL or Cambridge).
Career: When starting their contract (March-June 2019), selected researcher should be within the first four years of her/his career. This means being both within a four years window following their most recent graduation and not having been awarded a prior doctoral degree so far.
Mobility: At the time of recruitment, the researcher must not have resided, or carried out his/her activity in the country of the hiring institution for more than 12 months in the 3 years prior to recruitment date.
Application: Complete and timely submission. Documents submitted must be in English. If supporting documents (e.g. letters of academic references and scan of degree qualification) are not in English, they must be submitted together with a certified translation in English).
Formal requirements:
Degree: Master degree or equivalent providing access to PhD programs.
Language: English proficiency must be attested either through a previous English language diploma, or an internationally recognized proficiency test (at least C1 level of the Common European Framework of Reference for Languages i.e. IELTS, IBT, TOEFL or Cambridge).
Career: When starting their contract (March-June 2019), selected researcher should be within the first four years of her/his career. This means being both within a four years window following their most recent graduation and not having been awarded a prior doctoral degree so far.
Mobility: At the time of recruitment, the researcher must not have resided, or carried out his/her activity in the country of the hiring institution for more than 12 months in the 3 years prior to recruitment date.
Application: Complete and timely submission. Documents submitted must be in English. If supporting documents (e.g. letters of academic references and scan of degree qualification) are not in English, they must be submitted together with a certified translation in English).
Conditions of employment
We offer:A full-time temporary appointment for 4 years; Salary in accordance with CAO of the Dutch universities; Support for your personal development and career planning including courses, summer schools, conference visits etc.; An extensive package of fringe benefits, including excellent technical infrastructure, child care, savings schemes, and excellent sports facilities, extra holiday allowance (8%, May), and end-of-year bonus (8.3%, December); Foreign applicants may benefit from the 30% tax regulation in order to get a higher net salary, when granted.
