The Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Harvard Medical School has an immediate opening for a postdoctoral fellow and research assistant in the area of software development for non-invasive neuroscience analysis.

The fellow will address these challenges by developing extensions to the MNE and Freesurfer packages under the direction of Drs. Steven Stufflebeam and Matti Hamalainen. The initial focus will be on co-registration and co-visualization of fMRI with MEG/EEG and invasive with non-invasive data. Subsequent work, selected partially under the fellow’s discretion, will involve further topics in signal processing and source localization. This is a rich area with many unresolved questions, and we anticipate that the incumbent will be able to establish a foothold in an area for future independent investigation post-fellowship. Through the collaboration, substantial mathematical and statistical methods consulting will be available to assist with this.

Requirements for the post-doc position include:

• Completion of a PhD or equivalent degree; candidates who are just finishing doctoral study must provide strong assurance of completion of all requirements at least two months in advance of proposed start date. A PhD in a field related to medical imaging and medical physics is preferred, but applications are welcomed from fields such as mathematics, computer science, neuroscience, or statistics if the candidate can demonstrate a grounding in brain imaging.
• Extremely strong programming skills, with evidence of formal training or prior experience in designing for large-scale use and reuse. Prior knowledge of Python and MATLAB are essential; C is strongly desirable.
• Understanding of the physical and mathematical underpinnings of MEG/EEG data and the basics of their analysis. Formal research in this area is not required if evidence of knowledge can be demonstrated.
• Strong communication skills on technical topics. English fluency, both written and spoken, is required; incumbents will be expected to present data and approaches to a broad technical audience, including non-mathematicians and non-neuroscientists.
• Demonstrated capability for independent work and creative problem-solving. Reference letters, if provided, should give specific examples of the candidate’s accomplishments in these areas.
• Organizational and collaborative skills, particularly the ability to work in an environment with colleagues who are highly diverse in technical background, level of training, and interaction styles.
• Familiarity with scientific and technical dissemination, as evidenced by a good publication record in well-read journals and well-attended conferences.

Requirements for the research assistant position include:

• Completion of a B.S./B.A. or equivalent degree in engineering, physics, cognitive neuroscience or related field.
• Extremely strong programming skills, with evidence of formal training or prior experience in designing for large-scale use and reuse. Prior knowledge of Python and MATLAB are important; C is strongly desirable.
• Strong communication skills on technical topics. English fluency, both written and spoken, is required; incumbents will be expected to present data and approaches to a broad technical audience, including non-mathematicians and non-neuroscientists.
• Demonstrated capability for independent work and creative problem-solving.
• Organizational and collaborative skills, particularly the ability to work in an environment with colleagues who are highly diverse in technical background, level of training, and interaction styles.

Preference will be given to candidates who can demonstrate at least one of:

• Prior experience with or contribution to open-source software projects, particularly in the scientific software domain.
• Work in large and/or distributed teams during prior projects. Collaborative or interdisciplinary activities are especially valued.
• Prior leadership activities, such as service in leadership roles in postdoctoral or graduate organizations.
• Flexibility and adaptability, often demonstrated by prior work or training across disparate disciplines.
• Past work with computational simulation or modeling of the brain.
• Past empirical neuroscience work, including both data collection and analysis. Human subjects experience is not at all required, but will be favored.

Duration: The successful candidate will be expected to commit to a position of at least two years. We are willing to extend up to four years, contingent on good performance, cultural fit, and availability of ongoing funding.

Start date: Earliest possible

Contact: Prof. Steven Stufflebeam

To apply, please send a cover letter highlighting particularly relevant qualifications, a complete CV with list of publications, as well as the contacts of at least two references (including your PhD supervisor).

Massachusetts General Hospital is an equal opportunity employer. We welcome and encourage candidates of every national origin, ethnicity, sexual/gender orientation, and disability to apply if they are able to fulfill the position requirements. Candidates need not be US citizens or permanent residents.