ORGANISATION/COMPANYLIP - Laboratório de Instrumentação e Física Experimental de Partículas
RESEARCH FIELDComputer science › Informatics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE15/09/2021 17:00 - Europe/London
LOCATIONPortugal › Lisbon
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
OFFER STARTING DATE01/10/2021
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / ERC
REFERENCE NUMBERFARE, Fake News and Real People - Grant Agreement: 853566
The Laboratory of Instrumentation and Experimental Particle Physics (LIP) is opening a selection tender for two vacancies for Junior Developer/Programmer to aid research in the scientific subject of Computational Social Sciences, in the framework of the project “FARE, Fake News and Real People”, Grant Agreement 853566, funded by the European Research Council (ERC).
The candidate will be hired under a non-fixed term work contract, pursuant to the Labour Code, approved by law no.7/2009 of 12th February, under its current reading.
The recruited candidates will integrate a multidisciplinary and diverse research team and be supported by more senior team members in a collegial and collaborative environment.
The candidate should have an educational or professional background relevant to project scope including informatics, computer science, data management, engineering or similar. Knowledge of programming is required, and experience with Python and its data analysis stack (NumPy, Pandas) is desirable. Experience with parallel computing is an advantage. Knowledge of data management, including data pipelines and database creation, as well as systems administration (Linux servers, PostgreSQL databases, web servers) is an advantage.
Candidates can apply by sending the following documentation:
a) Motivation letter
b) Curriculum Vitae
c) Certificate or diploma copy, if applicable
d) Contacts of 2 references
e) Other documents the candidate considers relevant for their application
Applications should be sent as pdf files to the email address firstname.lastname@example.org.
Monthly gross remuneration (before tax and social security contribution) starts at 998,50 Euros per month, corresponding to level 11 of the Tabela Remuneratória Única. Holiday, Christmas and meal allowances are paid as defined by the Labour Code approved by Law no. 7/2009 of 12th February, under its current reading. This amount can be adjusted according to the experience of the selected candidates.
Any national, foreign, or stateless candidates who hold an academic or professional curriculum whose profile is suited for the activity to be performed can submit their applications.
All candidates who formalize their applications in an improper way or fail to prove the requirements imposed by this tender are excluded from admission. In case of doubt, the panel is entitled to request any candidate to present further documentation supporting his/her statements. False statements provided by the candidates shall be punished by law.
The tender selection panel shall be formed by:
- Prof. Joana Gonçalves de Sá (LIP e IST)
- Lília Perfeito (LIP)
- Paulo Almeida (LIP)
Evaluation criteria are the following:
Evaluation of the CV of the candidates, namely their educational background and participation in research projects in scientific fields relevant for the proposed work program.
Each member of the panel will value the criteria for each candidate, taking into account the requirements of the duties to be performed, the adequacy of previous experience, his/her relationship to the relevant areas and sub-areas.
The selection will consider the applicant's Curriculum Vitae (60%) and their motivation letter (40%).
High-ranking candidates might be called for an interview, which will then correspond to 100% of the evaluation criteria.
After applying the selection criteria, the panel will prepare an ordered list of the approved candidates and their corresponding classification. In case none of the candidates can demonstrate suitable skills or background, the panel will not select any candidate.
The panel’s final decision shall be validated by the head of the institution, who is also responsible for the hiring.
Both the admitted and excluded candidate list and the final classification list shall be sent by email to all candidates with delivery receipt.
Preliminary Hearing and Final Decision Deadline: Pursuant to article 121 of the Administrative Procedure Code, all candidates have 10 working days to respond upon notification. Panel’s final decisions are pronounced within a period of 90 days from the application deadline.
This tender is exclusively meant to fill the vacancies and can be terminated at any time until approval of final candidate list, and expires with the respective occupation of said vacancies.
Non-discrimination and equal access policy: LIP actively promotes a nondiscrimination and equal access policy, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of any duties based on their ancestry, age, sex, sexual preference, marital status, family and economic conditions, instruction, origin or social conditions, genetic heritage, reduced work capacity, disability, chronic illness, nationality, ethnic origin or race, origin territory, language, religion, political or ideological convictions and union membership.
Pursuant to article 3 (3) of Decree-Law no. 29/2001 of 3 February, disabled candidates shall be preferred in a situation of equal classification, and said preference supersedes any legal preferences. Candidates must declare, on their honour, their respective disability degree, type of disability and communication/expression means to be used during selection period on their application form, under the regulations above.
REQUIRED EDUCATION LEVELComputer science: Undergraduate
REQUIRED LANGUAGESENGLISH: Excellent
We welcome candidates who are university students working part-time or have interrupted their university education.
The candidates should have an educational or professional background relevant to project scope including informatics, computer science, data management or similar. Knowledge of programming is required, and experience with Python and its data analysis stack (NumPy, Pandas) is desirable. Experience with parallel computing is an advantage. Knowledge of data management, including data pipelines and database creation, as well as systems administration (Linux servers, PostgreSQL databases, web servers) is an advantage.
EURAXESS offer ID: 671397
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