mercredi 6 mars 2019
mardi 5 mars 2019
Position as field assistant in a rabbit study in grassland
Job position filled
Thank you : no apply anymore
Organization: Tier3 solutions GmbH
Location: Département du Nord, France
Contract: Freelancer
Hours: around 8h/day (depending on workload), 6 days/week
Duration: temporary, mid-March to mid-June full time, mid-June to mid-September one day a week, mid-September to mid-November full time.
Salary: €125 per day
Closing date: posts will be filled as soon as possible
Website: www.tier3.de
Contact person: louise.delaporte@tier3.de
Brief background Tier3 solutions GmbH is a company based in Germany which offers wildlife studies following the Good Laboratory Practice (GLP) Standard (BPL: Bonnes Pratiques de Laboratoire). This field season we are planning a study on rabbits in the department of the north of France. The objective of the study is to investigate by an appropriate design any possible adverse effects on individual rabbits and on the rabbit populations exposed under realistic conditions in grasslands to an herbicide used in France. The data will be used to renew the registration of a product.
Job description
The working tasks will include placing, checking live traps, collect data from GPS collars and PIT readers in the fields, data entry and check. The workload from mid-June to mid-September is to collect the data from the PIT readers in the fields and replace the batteries. We are working six days a week for approximately 8 hours a day. Working schedule and workload need to stay flexible, depending on the field activities and field conditions. Payment is €125 per day, plus travel expenses to/from field location. An accommodation close to the study fields is organized and paid by the company.
Personal requirements
The ideal candidate has experience with field work. Working for many hours outside under sometimes harsh weather conditions should be acceptable. The candidate should work independently but also show flexibility in working as part of an international team. Good command of written/spoken English and a full driving license are necessary and required. Knowledge for mammals and GLP are a plus.
How to apply? Please send a brief application letter with a description of your skills/experiences and a short CV to louise.delaporte@tier3.de.
lundi 4 mars 2019
open research positions in collective decision making, ISTC-CNR, Rome, Italy
Potential candidates are still encouraged to submit their interest for
the following research positions within the context of the project CODE:
Collective Decisions in Dynamic Environments (see below for more info),
carried out at the Institute of Cognitive Sciences and Technologies of
the Italian National Research Council, in Rome.
The following profiles are required:
- junior post-doc (including those nearing the end of their PhD)
- postgraduate research assistant (with possibility to enrol in a PhD school)
Open positions are for 2 years (with possibility of +1 year). Preferred starting date June the 3rd, 2019.
Ideal candidates should have knowledge about dynamical systems theory, multi-agent systems, swarm robotics. Good programming skills are also required (Python, C++), as well as abilities in data visualisation.
The interested candidate may place an informal inquiry by email to Vito Trianni <vito.trianni@istc.cnr.it>, attaching CV and a short motivation letter. The position will remain open until filled.
CODE: Collective Decisions in Dynamic Environments
The CODE project aims to study collective decision making in dynamical contexts, where the possible alternatives display time-varying features. The study has a theoretical component based on dynamical systems theory, and an experimental component based on multi-agent and multi-robot systems. Dynamical systems are useful to determine the time evolution of collective decision-making under a given parameterisation, with the goal of identifying optimal conditions to maximise efficiency and decision accuracy. Multi-agent models allow to validate the predictions made by analytical models, and to consider heterogeneous interaction topologies that can emerge, for instance, from a complex and dynamic distribution of agents in space, as resulting from non-random motion patterns. The research also includes the possibility to test the identified collective decision strategies with multi-robot systems, exploiting a swarm of kilobot robots.
http://laral.istc.cnr.it/trianni/index.php/2019/01/29/open-research-position-to-study-collective-decision-in-dynamic-environments/
The following profiles are required:
- junior post-doc (including those nearing the end of their PhD)
- postgraduate research assistant (with possibility to enrol in a PhD school)
Open positions are for 2 years (with possibility of +1 year). Preferred starting date June the 3rd, 2019.
Ideal candidates should have knowledge about dynamical systems theory, multi-agent systems, swarm robotics. Good programming skills are also required (Python, C++), as well as abilities in data visualisation.
The interested candidate may place an informal inquiry by email to Vito Trianni <vito.trianni@istc.cnr.it>, attaching CV and a short motivation letter. The position will remain open until filled.
CODE: Collective Decisions in Dynamic Environments
The CODE project aims to study collective decision making in dynamical contexts, where the possible alternatives display time-varying features. The study has a theoretical component based on dynamical systems theory, and an experimental component based on multi-agent and multi-robot systems. Dynamical systems are useful to determine the time evolution of collective decision-making under a given parameterisation, with the goal of identifying optimal conditions to maximise efficiency and decision accuracy. Multi-agent models allow to validate the predictions made by analytical models, and to consider heterogeneous interaction topologies that can emerge, for instance, from a complex and dynamic distribution of agents in space, as resulting from non-random motion patterns. The research also includes the possibility to test the identified collective decision strategies with multi-robot systems, exploiting a swarm of kilobot robots.
http://laral.istc.cnr.it/trianni/index.php/2019/01/29/open-research-position-to-study-collective-decision-in-dynamic-environments/
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