SEVERAL POST-DOC POSITIONS IN MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
(ref. BAP-2018-282)

Laatst aangepast : 5/06/2018


All positions are in the Machine Learning subgroup of the Lab for Declarative Languages and Artificial Intelligence, part of the Department of Computer Science at KU Leuven. The DTAI lab is one of the leading research groups for machine learning, artificial intelligence and data mining. DTAI’s machine learning group currently counts four faculty members (Luc De Raedt, Hendrik Blockeel, Bettina Berendt and Jesse Davis), one research manager, one research expert, several post-docs and over 25 doctoral students.

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Engineer Interns / Master Students / PhD for R&D, Odense, Denmark

Are you currently getting your education within Robot/Electrical/Mechanical Engineering, Computer Science, Programming or similar and are looking to partner up with a relevant business?

Do you get excited about working with 100 brilliant and talented colleagues with 10 different nationalities?

Universal Robots want to be part of and take responsibility for creating future engineers and developers and are looking to collaborate with you.

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38 PHD POSITIONS AROUND SUSTAINABLE ENERGY CONVERSION, University of Twente

For the second phase of the MCEC research programme, 38 PhD projects have been defined around the following themes:

Smart Biomass Conversion| What if we could replace crude oil with a more sustainable alternative to make the transportation fuels of the future? The chemical process currently used for the production of e.g. liquid fuels, can be tailored to enable the use of certified biomass as well as municipal waste. The PhD student will work on the synthesis of a new generation heterogeneous catalysts, capable of using a.o. lignin as a renewable feedstock to produce fuels, fuel additives or base chemicals, such as aromatics.

Storing Electricity from Renewable Sources in Chemical Bonds | Solar and wind energy are incessant, but by nature intermittent resources. One way to store the temporary surplus of ‘green power’ lies in chemical bonds. Within this theme, the PhD student will work on the design, characterization and testing of new solid catalysts capable of turning carbon dioxide into fuels and base chemicals.

Catalyst Diagnostics to Develop More Active Catalysts | New green routes for fuels and chemicals require radically new catalyst materials. But with current technologies, testing and characterizing these materials is very time-consuming. In this theme, the PhD student will develop an integrated spectroscopic and microfluidic testing platform, inspired by the latest developments in life sciences

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PhD candidate (f/m) in optoacoustic microscopy applications, Technical University of Munich

We now seek a highly qualified and motivated PhD candidate (f/m) to drive biomedical and clinical applications of a unique multimodal optical and optoacoustic microscopy imaging system.

Are you passionate about science, full of ideas and innovative potential that drive change and enjoy working in an international, fast-paced environment? Are you motivated by the societal impact of research and seek an opportunity to play an instrumental part in the development of emerging technologies for biology, healthcare and environmental applications? Then Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM), Germany and its integrated the Institute of Biological and Medical Imaging (IBMI) at the Helmholtz Zentrum München (HMGU) is the ideal environment for you!

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PhD scholarship in Peptide Chemistry

One PhD position is available in peptide chemistry within biopharmaceutical therapeutics and nanomedicine at The Novo Nordisk Foundation Centre for Intestinal Absorption and Transport of Biopharmaceuticals.

The Novo Nordisk Foundation Centre for Intestinal Absorption and Transport of Biopharmaceuticals invites applications for a fully funded 3-year PhD position in peptide and protein nanocarriers for biopharmaceutical delivery.

Biopharmaceuticals are critically important for current healthcare and hold the potential for new innovative treatments for many diseases and disorders. Unfortunately, many biopharmaceuticals are not absorbed by the intestines and have to be administered by other means (e.g. injection) rather than by tablets or capsules. The Centre for Intestinal Absorption and Transport of Biopharmaceuticals, located at the Technical University of Denmark in the Department of Micro- and Nanotechnology, is focused on developing new methods to significantly increase the absorption of biopharmaceuticals in the intestine so that these drugs may be administered to people as easy to swallow tablets and capsules. The Centre is a multidisciplinary research environment covering the interface between the life and physical sciences with particular emphasis on nanomedicines and the biointerface.


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Research Assistant in Machine Learning in Functional Neuroimaging
University of Oxford

Department of Psychiatry, Warneford Hospital, Oxford

Grade 6: £28,098 - £33,518 p.a.

Applications are invited for a Research Assistant in Machine Learning in Functional Neuroimaging to work on the Wellcome Trust funded project “‘Exploring the mechanisms of distributed spontaneous brain activity”. This project uses a combination of MRI, M/EEG / LFP recordings, methods development and biophysical modeling to advance understanding of spontaneous whole-brain activity at faster timescales than previously considered, and provide new insights into the underlying mechanisms. This research will be conducted within the Oxford Centre for Human Brain Activity (OHBA) Analysis Group headed by Mark Woolrich and based at OHBA, as part of the Wellcome centre for Integrative Neuroimaging (WIN), and collaborating with Maarten De Vos at the Institute of Biomedical Engineering (IBME). You will be based at the Department of Psychiatry, Warneford Hospital, Oxford.

The post is for a fixed term (funded for two years).

You will be expected to research new machine learning for describing the nature of large-scale brain networks from neuroimaging data, while contributing to the management of the research program. You will be expected to work independently to produce research of international standard, and also to cooperate with other members of the research group, and collaborators in Oxford and abroad. There may be an opportunity to undertake a PhD, provided you meet the necessary criteria

You will have a BSc degree in a relevant technical area, physics, maths, engineering, neuroscience, or a closely related discipline; and have a demonstrable interest in the relevant machine learning methods or computational neuroscience. Excellent mathematical and programming skills (preferably MATLAB), and experience of working on technical research in technical work environments are essential.

You will be required to upload a covering letter/supporting statement and a CV as part of your application.

The closing date for this post is 12.00 midday 9th August

Contact Person : HR Administrator

Vacancy ID : 135882

Contact Phone : 01865 618204

Closing Date : 09-Aug-2018

Contact Email : [email protected]


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Postdoctoral Epidemiologist / Data Scientist (f/m): Nutrition and Brain Health
German Center for Neurodegenerative Diseases

The German Center for Neurodegenerative Diseases (DZNE) is a unique non-university research center which is dedicated to the subject dementia and all its areas, as well as other neurodegenerative diseases. The center compasses the full spectrum of fundamental research through population sciences to health care research. The DZNE stands for excellence in research and science management, translation of scientific results into practice, interdisciplinarity and internationalization. It is a research center within the Helmholtz Organization of German research centers. With over 1000 employees from 55 nations, spread over 10 sites, the DZNE is one of the national and international leading research centers in its research field.

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PhD Characterization of pediatric brain tumors

Brain tumors are one of the leading causes of death in children. If possible, removing the tumor by surgery followed by radiotherapy and or chemotherapy is nowadays the treatment. However, often the tumor cannot be removed and only chemo and/or radiation therapy are considered as treatment. During the treatment patients are monitored with morphological imaging to evaluate response to therapy and its disease free survival. However, changes seen on imaging do not always reflect a change in tumor behavior or growth. From a diagnostic perspective, we are still lacking a tool that can non-invasively identify active tumor and indicate the aggressiveness of the tumor. Information from metabolic processes in the tumor and surrounding tissue may help to understand tumor physiology, which will improve diagnosis and treatment evaluation. In this research you will develop new metabolic imaging techniques at a unique 7T MR scanner dedicated for metabolic imaging (METAscan). You will focus on APT-CEST and 31P MRSI to study changes in metabolic parameters during treatment of children with the most common pediatric brain tumors, the low grade gliomas and the most difficult to treat pediatric brain tumors, the pontine tumors. You will be involved patient recruitment, scanning of the patient, and processing and analysis of the data.

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Post-doctoral Fellow in the AIDS Institute of the Department of Microbiology

Applications are invited for appointment as Post-doctoral Fellow in the AIDS Institute of the Department of Microbiology, to commence as soon as possible for two years, with the possibility of renewal subject to satisfactory performance.

Applicants should have a Ph.D. degree in Medicine, Microbiology or Biology, and be highly competent in immunology and molecular biology techniques. Preference will be given to those with work experience in transcriptome, animal models and molecular experiments. The appointee is expected to work independently and play an important role in the team on molecular mechanisms of protective immune responses during HIV infection or cancer immunotherapy. He/She will need to design and perform experiments, which involve animal immunization, immune assays, flow cytometry, cell imaging, deep sequencing and data analysis, etc. Enquiries about the post can be sent to the AIDS Institute at [email protected].

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Applicants should send a completed application form together with an up-to-date C.V., and the contact information of 3 referees to [email protected]. Application forms (341/1111) can be obtained online at https://www.hr.hku.hk/apptunit/form-ext.doc. Further particulars can be obtained at https://jobs.hku.hk. Review of applications will start on August 16, 2018 and continue until October 31, 2018.

The University thanks applicants for their interest, but advises that only candidates shortlisted for interviews will be notified of the application result.

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Scientist Bioinformatics, Biochemistry, Biology, Molecular/Translational Medicine as Postdoc / PhD Student - Cancer Biology, Immunology & Bioinformatic (f/m)

The Department of Medicine II of the Technical University of Munich (TUM) and the Institute of Translational Cancer Research at TUM and the German Cancer Research Center invites applications for

Postdoctoral and PhD positions f/m
in Cancer Biology, Immunology and Bioinformatics

at the Center for Translational Cancer Research (TranslaTUM) in Munich
We are deploying genetic models and bioinformatics incl. machine learning to study molecular, immunological and translational aspects of pancreatic cancer. One focus in the past few years was the development of novel preclinical models and organoid-based orthotopic transplantation strategies to mechanistically analyze subtypes of pancreatic cancer. The focus of the advertised projects will be on the identification and functional validation of novel therapeutic targets (e.g. by large scale systematic pharmacological and genetic screens) with a focus on tumor cell intrinsic as well as inflammatory and immune pathways that are required for tumour initiation and -progression in vivo (e.g. Nature 2018, 554:62-68; Nat. Commun. 2016, 7:10770; Nat Med. 2014, 20:1340-7; Cancer Cell. 2013,24:15- 29, Cancer Cell. 2013,23:406-20, Nat Commun. 2013;4:1630; PNAS 2011, 108:9945-50).
We are a young and enthusiastic team and offer intensive training and mentoring. The successful candidates will have the opportunity to learn a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques. She/he will be exposed to cutting edge methods to study translational aspects of cancer (e.g. Cre/loxP and Flp/frt based dual- and triple recombinase systems, organoid culture, orthotopic transplantations of organoids, CRISPR/Cas9, molecular in vivo imaging, in vivo transposon mutagenesis, RNA and exome sequencing, single cell sequencing, histocytometry). She/he will also be able to gain insights into clinically relevant aspects of cancer development through proximity to the clinical facilities and through the interdisciplinary composition of our team and closely collaborating groups.
We are looking for self-motivated bright individuals with a PhD, Diploma or Masters degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects. Previous exposure to and experience with basic biochemical and molecular biology techniques or bioinformatics as well interests in molecular aspects of cancer research is essential.
Payment is according to tarif (TV-L). We give priority to severely disabled applicants with essentially equal qualifications.
Please send your application including a letter of motivation, CV, certificates, recommendation letters in one pdf file to Prof. Dieter Saur (e-mail: [email protected]).

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Postdoctoral Researcher Social Psychology

Organisation
Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage the 30,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international place of knowledge.

The Faculty of Behavioural and Social Sciences (BSS) of the University of Groningen excels in teaching and research in the fields of behaviour, thinking, learning, and how people live together. We want to continue developing our well-founded theoretical and methodological knowledge domains: psychology, sociology, pedagogy, educational sciences and teaching methodology.
The Department of Psychology, Research Unit Social Psychology, part of the Faculty of BSS invites applications for a 1-year postdoc position (0.8 FTE) to finish the project: “Decision making regarding purchasing a dog”, funded by the Royal Dutch Dog Protection Agency, and supervised by Prof. Arie Dijkstra.

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Postdoctoral researcher Citizenship, Democracy & Social Media
Amsterdam Law School – Institute for Information Law

Job description
The Digital Society

Digital information technology is becoming ever more deeply and rapidly entrenched in our society. Extensive digitalisation is set to radically change practically all aspects of society, not only in the Netherlands but throughout the world.

The Netherlands is a compact, highly developed, well-organised country with excellent physical and digital infrastructures. The academic research conducted at our universities is of high quality across the board. Furthermore, our researchers are highly experienced in crossing the boundaries between disciplines and institutions. This unique combination of characteristics creates an equally unique opportunity for the Netherlands: to lead the world in the creation of effective connections between digital technology, people and their societies.

In the years ahead, Dutch universities will work together towards this common goal. They will further combine the existing wealth of research in this field and focus it on a clear, common profile. As a corollary of the National Science Agenda, Dutch universities want to invest in cutting-edge research together with other knowledge institutions, the business sector and the government.

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PhD Position Available:
Quantitative analysis of multimodal images for automated plant phenotyping

The CEITEC-Central European Institute of Technology (Masaryk University, Brno, Czech Republic) seeks applicants for postdoctoral and PhD positions on the field of quantitative plant image analysis. The research activities will be performed within the scope of recently funded project aiming to develop advanced algorithmic approaches to automated plant phenotyping using multimodal image data acquired with visual light, fluorescence and 3D cameras.

The scope of research activities includes development of methods for image enhancement, segmentation, classification and derivation of reliable morphological and developmental traits of plant shoots and roots.

Supervisor: Dr. Evgeny Gladilin (CEITEC & IPK Gatersleben)

Co-supervisor: Assoc. Prof. Jan Hejátko, Ph.D.

We offer: The successful candidate will be given an opportunity to work in a state-or-the-art scientific environment on the rapidly growing interdisciplinary field of biological image analysis and quantitative species phenotyping. The position is available from September 2018.

We expect: We are looking for motivated researchers with a degree in informatics, mathematics, physics or similar educational background and previous experience in image processing, computer vision, and/or machine learning. Good programming skills in one or more scientific programming languages (e.g., Matlab, Python, Java, C/C++, shell scripting) are mandatory. The successful candidate is expected to have good communication skills in English language.

Contact and further info: [email protected]; https://www.ceitec.eu/phd

References

https://www.ipk-gatersleben.de/en/molecular-genetics/image-analysis/publi...

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Postdoc in Biomedical Optics, Biophotonics, Photonics or Optical Microscopy
SCHOOL OF ELECTRICAL, ELECTRONIC & COMPUTER ENGINEERING
UNIVERSITY OF WESTERN AUSTRALIA

Our projects are about inventing, engineering, operating and understanding complete systems, from new modes of imaging to optical and mechanical instrument design, to electronics, signal processing and real-time software generating big data, to working with medical researchers and biologists to understand the data. Imaging systems are being developed for clinical and biological collaborations, for example, in cancer detection, scar assessment and physiological studies of the human airway.

This position will be a key appointment in our research on advanced extensions of optical coherence tomography (OCT), largely polarisation-sensitive OCT, but also microscope-in-a-needle, OCT angiography and lymphangiography, OCT elastography and clinical OCT, with applications largely in imaging airways, but also in burn scars, and the eye.

We are seeking a researcher who can contribute to the polarisation-sensitive OCT in the airways project and more, and who is expert in at least one of the following: optical coherence tomography, optics experimentation, optical microscopy, optical design, signal processing, modelling and project management.

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Postdoc on Architectures for In-Memory Computations, Department of Electrical Engineering at Eindhoven University of Technology

Job description
The classical Von Neumann computer architectures force data to be moved from a background memory to the processor's foreground memories before computations can be performed. Modern applications, e.g. from the domain of big data, do not fit well on these architectures. Typically their performance is hampered by the memory bottleneck (due to lack of memory bandwidth, too long memory latencies, little data reuse opportunities, etc.). Near memory computations have been proposed to partially address this bottleneck. The H2020 project MNEMOSENE takes this idea one step further. It will develop and demonstrate a new, ultra-low energy, computation-in-memory (CIM) based architecture, including simulation and compiler tools; so the computation will be as close as possible to the main memory.

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Postdoc on Computer Vision Deep Learning Algorithms and Architectures, Department of Electrical Engineering at Eindhoven University of Technology

Job description
Since the introduction of deep learning (DL) techniques, the advances in video analytics are going in a rapid pace. Deep learning is based on neural networks comprising multiple layers of connected neurons that can be trained to classify input signals. In the domain of video analysis, this technique is used to detect, analyze, recognize, or classify objects. The deep neural network requires a tremendous amount of compute power and huge memory bandwidth. To satisfy these requirements advanced DL algorithms and architectures have to be developed which exploit parallel processing, in particular vector parallelism, specific accelerators, and advanced memory interfaces and memory hierarchy.

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Postdoctoral Research Fellow in Theoretical Systems Biology, UNIVERSITY OF MELBOURNE

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Postdoctoral position for in vivo imaging of intrinsic retinal fluorescence in the lab of Dr. Jennifer Hunter at the University of Rochester

A postdoctoral position to apply and develop new applications of two-photon excited fluorescence imaging in the living eye is available in the laboratory of Dr. Jennifer Hunter. Research will include development of two-photon excited fluorescence ophthalmoscopy to non-invasively assess cellular metabolism and function in the living eye. Changes to important properties of excited retinal fluorophores (spectra, lifetime, etc.) in response to environmental alterations such as visual stimulation, pharmacological manipulation, or injury will be recorded in vivo at a single-cell level. Further, we will be developing capabilities to measure the redox ratio in the retina of living primates.

Candidates with a strong background in physiological optics, retinal physiology, microscope development and/or retinal imaging are encouraged to apply. Experience with optical alignment and MATLAB programming is highly desirable. Applicants should have a Ph.D. or equivalent training. Senior graduate students nearing completion of their degree are strongly encouraged to apply. Opening is available immediately and position will remain open until qualified individual is identified. Appointment is for 1 year and may be extended up to 3 years depending on progress and review.

The successful applicant will join the Advanced Retinal Imaging Alliance (ARIA) of the University of Rochester (https://aria.cvs.rochester.edu/).The University of Rochester offers a highly collaborative and stimulating research environment with opportunities for interactions and training in imaging and visual science including the Center for Visual Science (https://www.cvs.rochester.edu/), the Flaum Eye Institute (https://www.urmc.rochester.edu/eye-institute/) and the Institute of Optics (https://www.optics.rochester.edu/). ARIA, CVS and FEI provide access to a large technical staff including programmers and engineers to help with research needs.



Interested applicants should send CV and names/contact information of three references to [email protected]. Please include a cover letter detailing your current research activities, expertise and the reasons for your interest in this position.



Jennifer J Hunter, PhD
Associate Professor of Ophthalmology,
Flaum Eye Institute, Center for Visual Science, Department of Biomedical Engineering, The Institute of Optics,
University of Rochester
Box 319
601 Elmwood Ave.
Rochester, NY 14642
Office: Medical Center G-4111
Telephone: (585) 273-4935
Email: [email protected]

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Two Positions (PhD or Postdoc) in Machine Learning and Mathematical Image Analysis
Heidelberg University invites applications for two positions to be filled by PhD students or senior researchers. The positions are devoted to mathematical models of learning networks for image analysis using methods from differential geometry and optimal control.

The positions are affiliated with the Heidelberg Collaboratory for Image Processing (HCI, hci.iwr.uniheidelberg.de), which comprises four research groups (Hamprecht, Ommer, Rother, Schnörr) focused on the themes of Image Analysis and Computer Vision, Machine Learning and Mathematical Modeling. Postdocs will be hired for an initial period of two years, PhD students for three years with the option of further extension (funding already secured).

Prospective candidates have a degree in Mathematics or Physics. Postdoctoral applicants must have publications in relevant first-rate journals. Besides a strong mathematical background (for example: computational spatial statistics, optimization, ODE/PDE numerics, differential/information geometry) we require fluency in advanced C++ or Python programming as well as in English.

The gross salary ranges from 45.8kEUR to 71.6kEUR (i.e. TVL/13 up to TVL/14) plus social benefits, depending on qualification and experience. The envisioned starting date is Fall 2018 or later.

Applications should include a motivation letter, a complete CV, the PhD or MSc thesis (or a link to it), a list of publications (postdocs only), and two references (name, homepage). Please apply by email in PDF-format to [email protected]. For further inquiries, please contact Christoph Schnörr (https://ipa.math.uniheidelberg.de/cschnoerr).

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