Job Information
- Organisation/Company
- INESC ID
- Research Field
- Engineering » Computer engineeringEngineering
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Portugal
- Application Deadline
- Type of Contract
- Other
- Job Status
- Other
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Reference Number
- C. for Responsible AI-Refª C645008882-00000055-BI|2023/361
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Public notice for research grant
Center for Responsible AI
Refª C645008882-00000055
BI|2023/361
INESC-ID - Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa is a R&D institute dedicated to advanced research and development in the fields of Information Technologies, Electronics, Communications, and Energy. INESC-ID has participated in more than 50 research projects funded by the European Union and more than 190 funded by national entities. Until today, our researchers have published more than 700 papers in international journal papers, more than 3000 papers in international conferences, and have registered 15 patents and/or brands.
1 | RESEARCH GRANT TYPE
ONEresearch grant for candidates with Master degree with reference numberBI|2023/361 is now available under the scope of project Center for Responsible AI, funded byRecovery and Resilience Plan (RRP) and under the following conditions:
2 | DURATION
12 months, starting in March 2023
- Renewable, if the candidate is enrolled in a PhD program - art. 6º, n.4 c)
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 4 years (included contract renewals)
- Non-Renewable, if the candidate is enrolled in a non-degree programme – art. 6º, n. 4 a)
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 1 year (included contract renewals)
3 | LEGISLATION
A fellowship contract will be celebrated according to:
- Law 40/2004 of 18th of August (Scientific Research Fellow Status) and its successive amendments, including the amendments introduced by the Decree Law n. 123/2019 of 28 th of August
https://dre.pt/web/guest/legislacao-consolidada/-/lc/124281176/201912061112/73740605/diploma/indice?lcq=estatuto+do+bolseiro,
- Regulations for Research Grants of the Foundation for Science and Technology in force (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf )
- INESC-ID Lisboa Grant Regulations
https://www.inesc-id.pt/scholarship-regulations/
- Recovery and Resilience Plan (RRP)
https://recuperarportugal.gov.pt/
The fellowship contract is awarded on an exclusive dedication basis – art. 5 of Scientific Research Fellow Status and art. 16 of Regulations for Research Grants of the Foundation for Science and Technology.
4 | MONTHLY AMOUNT
The monthly amount of the grant 1144,64€ is in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://former.fct.pt/apoios/bolsas/docs/Tabela_de_Valores_SMM_2022.pdf and shall be rendered through a monthly bank transfer to an account held by the grantee.
5 | OBJECTIVES/WORKPLAN
State-of-the-art AI models are unsustainably hunger for data and computational resources: the recent GPT-3 model developed by OpenAI has 175 billion parameters, was trained on 500 billion words, and took 3.14E23 flops to train (on a domestic GPU, it would cost $4.6M and it would require 355 years to train such a model). This has a daunting carbon footprint and poses serious environmental concerns. Recent literature has shown that the training of a state of the art ML model for NLP can emit 5x more CO2 than a car during its entire lifespan.
The assignee of this research grant will investigate and develop new scientific methods and technologies for making AI systems more energy and data efficient -- an important goal for Data4Green and the European Green Deal.
More in detail, the focus of this grant will be on investigating the adoption of emerging hardware mechanisms (In-memory processing devices, Non-Volatile RAM, Transactional Memory) to increase efficiency of storage and intra-node synchronization.
6 | SCIENTIFIC SUPERVISION
The activity will be supervised by Paolo Romano, Associate Professor at Instituto Superior Técnico and Researcher at INESC-ID.
INESC ID will integrate the grantee in the research team of the scientific advisor.
7 | ADMISSION REQUIREMENTS
The candidates should have MSc degree in Computer Engineering or Computer Science, or related areas.
By the grant start date, the candidate must be enrolled in
- a PhD programme – art. 6º, n.1
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
- a non-degree programme – art. 6º, n. 2
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
Preferential factors:
Preference will be given to candidates who have:
- Experience with the development and benchmarking of Transactional Memory systems (TinySTM, NORec, HTM)
- Experience with In-Memory Processing Devices
- Experience with developing AI/ML models and Python programming
- Experience with low-level hardware programming
- Fluency in English (Written and Spoken)
8 | EVALUATION CRITERIA AND COMMITEE
The selection will be according to the following criteria:
- Experience with the development and benchmarking of Transactional Memory systems (TinySTM, NORec, HTM)- 25%
- Experience with In-Memory Processing Devices - 25%
- Experience with low-level hardware programming - 15%
- Experience with developing AI/ML models and Python programming - 10%
- Fluency in English (Written and Spoken) - 25%
The jury may also decide not to assign the scholarship, if none of candidates meets the required conditions.
Jury | Name | Professional Status | Institutions |
President | Paolo Romano | Researcher / Associate Professor | INESC ID | Tecnico |
Member | Luís Eduardo Teixeira Rodrigues | Researcher / Full Professor | INESC ID | Tecnico |
Member | Nuno Miguel Carvalho Santos | Researcher / Associate Professor | INESC ID | Tecnico |
Substitute member | João Pedro Faria Mendonça Barreto | Researcher / Assistant Professor | INESC ID | Tecnico |
Substitute member | Miguel Ângelo Marques de Matos | Researcher / Assistant Professor | INESC ID | Tecnico |
9 | COMPLAIN AND APPEAL DEADLINES AND PROCEDURES
The jury has the faculty not to select a candidate who does not prove the requirements mentioned in required education Level and research experience
The admitted and excluded candidates will be notified by email of the final ranking list, including the copy of the Preliminary Report of the jury.
Prior Hearing and Deadline for Final Decision: After being notified, candidates have 10 working days to submit, if applicable, a formal rebuttal.
After that period, the jury notifies the candidates of the Final Report.
Excluded applicants may complain about the jury's final report for 15 working days after notification or appeal the jury's decision to the INESC ID Board of Directors for 30 working days after notification.
According to the Portuguese Law, a disabled candidate has a preference when in equal classification, which prevails over any other legal preference. Candidates must declare their respective degree of disability, the type of disability and the means of communication / expression to be used in the selection process, under the law.
10 | FORMALISATION OF APPLICATIONS
Applications are formalised by sending an email to rh@inesc-id.pt with the documents stated bellow and in pdf form. The application email should clearly state the reference of the research grant and project.
|
| |||
|
|
| ||
10.1 | Single copy of official academic degree certificate in the required education level |
| ||
|
a) In the application submission, the candidates from portuguese education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree. |
| ||
|
| |||
| b) In the application submission, the candidates from foreigner education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree. |
| ||
|
|
| ||
|
|
| ||
| https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition
|
| ||
10.2 | Detailed list of grades (pdf form); |
| ||
|
|
| ||
10.3 | Proof of enrolment required on 7 a) or 7 b) (pdf form); |
| ||
|
In the application submission, the candidates may replace the proof of enrolment by a declaration of honour stating that they are/will be enrolled required in 7 a) or 7 b) |
| ||
|
| |||
|
|
| ||
10.4 | Detailed curriculum vitae (pdf form); |
| ||
|
|
| ||
10.5 | Motivation letter explaining the interest in the position (pdf form); |
| ||
|
|
| ||
11 | Application Dates
From |
| To |
16-01-2023 |
| 31-01-2023 |
Requirements
- Research Field
- Engineering » Computer engineering
- Education Level
- Master Degree or equivalent
State-of-the-art AI models are unsustainably hunger for data and computational resources: the recent GPT-3 model developed by OpenAI has 175 billion parameters, was trained on 500 billion words, and took 3.14E23 flops to train (on a domestic GPU, it would cost $4.6M and it would require 355 years to train such a model). This has a daunting carbon footprint and poses serious environmental concerns. Recent literature has shown that the training of a state of the art ML model for NLP can emit 5x more CO2 than a car during its entire lifespan.
The assignee of this research grant will investigate and develop new scientific methods and technologies for making AI systems more energy and data efficient -- an important goal for Data4Green and the European Green Deal.
More in detail, the focus of this grant will be on investigating the adoption of emerging hardware mechanisms (In-memory processing devices, Non-Volatile RAM, Transactional Memory) to increase efficiency of storage and intra-node synchronization.
The candidates should have MSc degree in Computer Engineering or Computer Science, or related areas.
By the grant start date, the candidate must be enrolled in
- a PhD programme – art. 6º, n.1
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
- a non-degree programme – art. 6º, n. 2
- Languages
- ENGLISH
- Level
- Good
Additional Information
The monthly amount of the grant 1144,64€ is in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://former.fct.pt/apoios/bolsas/docs/Tabela_de_Valores_SMM_2022.pdf and shall be rendered through a monthly bank transfer to an account held by the grantee.
The candidates should have MSc degree in Computer Engineering or Computer Science, or related areas.
By the grant start date, the candidate must be enrolled in
- a PhD programme – art. 6º, n.1
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
- a non-degree programme – art. 6º, n. 2
The selection will be according to the following criteria:
- Experience with the development and benchmarking of Transactional Memory systems (TinySTM, NORec, HTM)- 25%
- Experience with In-Memory Processing Devices - 25%
- Experience with low-level hardware programming - 15%
- Experience with developing AI/ML models and Python programming - 10%
- Fluency in English (Written and Spoken) - 25%
The jury may also decide not to assign the scholarship, if none of candidates meets the required conditions.
Preference will be given to candidates who have:
- Experience with the development and benchmarking of Transactional Memory systems (TinySTM, NORec, HTM)
- Experience with In-Memory Processing Devices
- Experience with developing AI/ML models and Python programming
- Experience with low-level hardware programming
- Fluency in English (Written and Spoken)
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- INESC-ID
- Country
- Portugal
- State/Province
- Lisbon
- City
- Lisbon
- Postal Code
- 1000-029
- Street
- Rua Alves Redol, 9
- Geofield
Where to apply
- rh@inesc-id.pt
Contact
- State/Province
- Lisboa
- City
- Lisboa
- Street
- Rua Alves Redol, 9
- Postal Code
- 1000-029
- rh@inesc-id.pt